Overview

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Dataset statistics

Number of variables192
Number of observations69
Missing cells2447
Missing cells (%)18.5%
Total size in memory100.9 KiB
Average record size in memory1.5 KiB

Variable types

Text4
Numeric147
DateTime3
Unsupported2
Boolean36

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w2_experimentidexperimentid
w2_lastpagelastpage
w2_submitdatesubmitdate
w2_startlanguagestartlanguage
w2_startdatestartdate
w2_datestampdatestamp
w2_refurlrefurl
w2_A01With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________
w2_A01_otherWith whom do you live? Answer: Other, please specify: ________
w2_A02In addition to you, how many people do you share the accommodation with? |__|
w2_A03How many of these people attend university? |__|
w2_A04 Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more
w2_A05_1In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)
w2_A05_2In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)
w2_A05_3In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system
w2_A05_4In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV
w2_A05_5In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC
w2_A05_6In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer
w2_A05_7In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet
w2_A05_8In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone
w2_A05_9In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher
w2_A05_10In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi
w2_A06_1All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________
w2_A06_2All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)
w2_A07Have you been in paid employment in the last year or so? 1. Yes 2. No
w2_A08Do you currently do any work, including occasional work? 1. Yes 2. No
w2_B01_1Do you have a car driver’s license? 1. Yes, 2. No
w2_B01_2Do you have a motorbike driver’s license? 1. Yes, 2. No
w2_B01_3Do you have a bike of your own? 1. Yes, 2. No
w2_B01_4Do you have a car of your own? 1. Yes, 2. No
w2_B01_5Do you have a motorbike of your own? 1. Yes, 2. No
w2_B01_6Do you have access to a car whenever you want? 1. Yes, 2. No
w2_B01_7Do you have access to a motorbike whenever you want? 1. Yes, 2. No
w2_B02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
w2_B02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
w2_B02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
w2_B02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
w2_B02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
w2_B02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
w2_B02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
w2_B02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
w2_B03How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday
w2_C01Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]
w2_C02Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.
w2_C03_1How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_2How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_3How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_4How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_5How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C04How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never
w2_C05_1Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.
w2_C05_2Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.
w2_C05_3Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.
w2_C05_4Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly
w2_C05_5Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.
w2_C05_6Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.
w2_C05_7Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.
w2_C05_8Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.
w2_C05_9Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.
w2_C06_1When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips
w2_C06_2When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes
w2_C06_3When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines
w2_C06_4When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps
w2_C06_5When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV
w2_C06_6When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas
w2_C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet
w2_C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet
w2_C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons
w2_C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
w2_C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly
w2_C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight
w2_C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.
w2_C08Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.
w2_C09Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday
w2_C10_1Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_2Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_3Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_4Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_5Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_6Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_7Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C11How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.
w2_C12_1How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_2How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_3How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_4How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_5How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_D01Beyond walking about, do you engage in other physical activities? 1. Yes 2. No
w2_D02Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]
w2_D03_1Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.
w2_D03_2Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.
w2_D03_3Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.
w2_D03_4Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.
w2_D03_5Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.
w2_D03_6Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.
w2_D03_7Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.
w2_D03_8Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.
w2_D04How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week
w2_D05_1How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_2How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_3How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D06_1Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.
w2_D06_2Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.
w2_D06_3Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.
w2_D06_4Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.
w2_D06_5Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.
w2_D06_otherQuestion: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.
w2_D07_1Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.
w2_D07_2Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.
w2_D07_3Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.
w2_D07_4Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.
w2_D07_5Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.
w2_E01_1Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.
w2_E01_2Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.
w2_E01_3Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.
w2_E01_4Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.
w2_E01_5Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.
w2_E01_6Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.
w2_E02_1Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_2Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_3Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_4Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_5Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_F02_1Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual
w2_F02_2Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet
w2_F02_3Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned
w2_F02_4Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating
w2_F02_5Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy
w2_F02_6Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed
w2_F02_7Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful
w2_F02_8Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual
w2_F02_9Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured
w2_F02_10Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant
w2_F02_11Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical
w2_F02_12Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive
w2_F02_13Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening
w2_F02_14Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract
w2_F02_15Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser
w2_F02_16Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety
w2_F02_17Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful
w2_F02_18Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate
w2_F02_19Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups
w2_F02_20Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel
w2_F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
w2_F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things
w2_F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.
w2_F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does
w2_F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
w2_F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try
w2_F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
w2_F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
w2_F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
w2_F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
w2_F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
w2_F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people
w2_F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people
w2_F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
w2_F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures
w2_F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
w2_F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says
w2_F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them
w2_F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them
w2_F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires
w2_F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess
w2_F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
w2_F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
w2_F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is
w2_F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
w2_F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself
w2_F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows
w2_F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
w2_F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
w2_F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life
w2_F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them
w2_F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others
w2_F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
w2_F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself
w2_F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected
w2_F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
w2_F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them
w2_F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself
w2_F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader
w2_F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
w2_interviewtimeinterviewtime
w2_GT_A1
w2_GT_A2
w2_GT_B
w2_GT_C
w2_GT_D
w2_GT_E
w2_GT_F

Alerts

w2_experimentid has constant value "wenetChina" Constant
w2_startlanguage has constant value "zh-Hans" Constant
w2_refurl has constant value "mail" Constant
w2_A05_1 has constant value "False" Constant
w2_A05_2 has constant value "False" Constant
w2_A05_3 has constant value "False" Constant
w2_A05_4 has constant value "False" Constant
w2_A05_5 has constant value "False" Constant
w2_A05_8 has constant value "False" Constant
w2_A05_9 has constant value "False" Constant
w2_B01_2 has constant value "2" Constant
w2_B01_5 has constant value "2" Constant
w2_B01_7 has constant value "2" Constant
w2_B02_1 has constant value "True" Constant
w2_C02 has constant value "3" Constant
w2_A05_6 is highly imbalanced (79.7%) Imbalance
w2_A05_10 is highly imbalanced (65.9%) Imbalance
w2_B02_5 is highly imbalanced (79.7%) Imbalance
w2_C06_2 is highly imbalanced (67.7%) Imbalance
w2_C07_2 is highly imbalanced (75.8%) Imbalance
w2_C07_3 is highly imbalanced (85.9%) Imbalance
w2_D06_1 is highly imbalanced (84.6%) Imbalance
w2_D06_2 is highly imbalanced (57.4%) Imbalance
w2_lastpage has 3 (4.3%) missing values Missing
w2_submitdate has 7 (10.1%) missing values Missing
w2_refurl has 27 (39.1%) missing values Missing
w2_A01 has 5 (7.2%) missing values Missing
w2_A01_other has 69 (100.0%) missing values Missing
w2_A02 has 9 (13.0%) missing values Missing
w2_A03 has 11 (15.9%) missing values Missing
w2_A04 has 7 (10.1%) missing values Missing
w2_A05_1 has 6 (8.7%) missing values Missing
w2_A05_2 has 6 (8.7%) missing values Missing
w2_A05_3 has 6 (8.7%) missing values Missing
w2_A05_4 has 6 (8.7%) missing values Missing
w2_A05_5 has 6 (8.7%) missing values Missing
w2_A05_6 has 6 (8.7%) missing values Missing
w2_A05_7 has 6 (8.7%) missing values Missing
w2_A05_8 has 6 (8.7%) missing values Missing
w2_A05_9 has 6 (8.7%) missing values Missing
w2_A05_10 has 6 (8.7%) missing values Missing
w2_A06_1 has 7 (10.1%) missing values Missing
w2_A06_2 has 7 (10.1%) missing values Missing
w2_A07 has 5 (7.2%) missing values Missing
w2_A08 has 5 (7.2%) missing values Missing
w2_B01_1 has 6 (8.7%) missing values Missing
w2_B01_2 has 7 (10.1%) missing values Missing
w2_B01_3 has 5 (7.2%) missing values Missing
w2_B01_4 has 7 (10.1%) missing values Missing
w2_B01_5 has 7 (10.1%) missing values Missing
w2_B01_6 has 7 (10.1%) missing values Missing
w2_B01_7 has 8 (11.6%) missing values Missing
w2_B02_1 has 5 (7.2%) missing values Missing
w2_B02_2 has 6 (8.7%) missing values Missing
w2_B02_3 has 6 (8.7%) missing values Missing
w2_B02_4 has 6 (8.7%) missing values Missing
w2_B02_5 has 6 (8.7%) missing values Missing
w2_B02_6 has 6 (8.7%) missing values Missing
w2_B02_7 has 6 (8.7%) missing values Missing
w2_B02_8 has 6 (8.7%) missing values Missing
w2_B03 has 5 (7.2%) missing values Missing
w2_C01 has 6 (8.7%) missing values Missing
w2_C02 has 19 (27.5%) missing values Missing
w2_C03_1 has 18 (26.1%) missing values Missing
w2_C03_2 has 18 (26.1%) missing values Missing
w2_C03_3 has 18 (26.1%) missing values Missing
w2_C03_4 has 18 (26.1%) missing values Missing
w2_C03_5 has 18 (26.1%) missing values Missing
w2_C04 has 18 (26.1%) missing values Missing
w2_C05_1 has 18 (26.1%) missing values Missing
w2_C05_2 has 18 (26.1%) missing values Missing
w2_C05_3 has 18 (26.1%) missing values Missing
w2_C05_4 has 18 (26.1%) missing values Missing
w2_C05_5 has 18 (26.1%) missing values Missing
w2_C05_6 has 18 (26.1%) missing values Missing
w2_C05_7 has 18 (26.1%) missing values Missing
w2_C05_8 has 18 (26.1%) missing values Missing
w2_C05_9 has 18 (26.1%) missing values Missing
w2_C06_1 has 18 (26.1%) missing values Missing
w2_C06_2 has 18 (26.1%) missing values Missing
w2_C06_3 has 19 (27.5%) missing values Missing
w2_C06_4 has 19 (27.5%) missing values Missing
w2_C06_5 has 19 (27.5%) missing values Missing
w2_C06_6 has 19 (27.5%) missing values Missing
w2_C07_1 has 19 (27.5%) missing values Missing
w2_C07_2 has 19 (27.5%) missing values Missing
w2_C07_3 has 19 (27.5%) missing values Missing
w2_C07_4 has 19 (27.5%) missing values Missing
w2_C07_5 has 19 (27.5%) missing values Missing
w2_C07_6 has 19 (27.5%) missing values Missing
w2_C07_7 has 18 (26.1%) missing values Missing
w2_C08 has 18 (26.1%) missing values Missing
w2_C09 has 18 (26.1%) missing values Missing
w2_C10_1 has 24 (34.8%) missing values Missing
w2_C10_2 has 24 (34.8%) missing values Missing
w2_C10_3 has 24 (34.8%) missing values Missing
w2_C10_4 has 24 (34.8%) missing values Missing
w2_C10_5 has 24 (34.8%) missing values Missing
w2_C10_6 has 24 (34.8%) missing values Missing
w2_C10_7 has 24 (34.8%) missing values Missing
w2_C11 has 24 (34.8%) missing values Missing
w2_C12_1 has 24 (34.8%) missing values Missing
w2_C12_2 has 24 (34.8%) missing values Missing
w2_C12_3 has 25 (36.2%) missing values Missing
w2_C12_4 has 24 (34.8%) missing values Missing
w2_C12_5 has 24 (34.8%) missing values Missing
w2_D01 has 6 (8.7%) missing values Missing
w2_D02 has 6 (8.7%) missing values Missing
w2_D03_1 has 24 (34.8%) missing values Missing
w2_D03_2 has 24 (34.8%) missing values Missing
w2_D03_3 has 24 (34.8%) missing values Missing
w2_D03_4 has 24 (34.8%) missing values Missing
w2_D03_5 has 24 (34.8%) missing values Missing
w2_D03_6 has 24 (34.8%) missing values Missing
w2_D03_7 has 24 (34.8%) missing values Missing
w2_D03_8 has 24 (34.8%) missing values Missing
w2_D04 has 24 (34.8%) missing values Missing
w2_D05_1 has 25 (36.2%) missing values Missing
w2_D05_2 has 25 (36.2%) missing values Missing
w2_D05_3 has 25 (36.2%) missing values Missing
w2_D06_1 has 24 (34.8%) missing values Missing
w2_D06_2 has 23 (33.3%) missing values Missing
w2_D06_3 has 23 (33.3%) missing values Missing
w2_D06_4 has 24 (34.8%) missing values Missing
w2_D06_5 has 24 (34.8%) missing values Missing
w2_D06_other has 69 (100.0%) missing values Missing
w2_D07_1 has 24 (34.8%) missing values Missing
w2_D07_2 has 24 (34.8%) missing values Missing
w2_D07_3 has 24 (34.8%) missing values Missing
w2_D07_4 has 24 (34.8%) missing values Missing
w2_D07_5 has 24 (34.8%) missing values Missing
w2_E01_1 has 6 (8.7%) missing values Missing
w2_E01_2 has 6 (8.7%) missing values Missing
w2_E01_3 has 7 (10.1%) missing values Missing
w2_E01_4 has 6 (8.7%) missing values Missing
w2_E01_5 has 6 (8.7%) missing values Missing
w2_E01_6 has 6 (8.7%) missing values Missing
w2_E02_1 has 9 (13.0%) missing values Missing
w2_E02_2 has 38 (55.1%) missing values Missing
w2_E02_3 has 36 (52.2%) missing values Missing
w2_E02_4 has 15 (21.7%) missing values Missing
w2_E02_5 has 31 (44.9%) missing values Missing
w2_F02_1 has 7 (10.1%) missing values Missing
w2_F02_2 has 7 (10.1%) missing values Missing
w2_F02_3 has 7 (10.1%) missing values Missing
w2_F02_4 has 7 (10.1%) missing values Missing
w2_F02_5 has 7 (10.1%) missing values Missing
w2_F02_6 has 7 (10.1%) missing values Missing
w2_F02_7 has 7 (10.1%) missing values Missing
w2_F02_8 has 7 (10.1%) missing values Missing
w2_F02_9 has 7 (10.1%) missing values Missing
w2_F02_10 has 7 (10.1%) missing values Missing
w2_F02_11 has 8 (11.6%) missing values Missing
w2_F02_12 has 8 (11.6%) missing values Missing
w2_F02_13 has 7 (10.1%) missing values Missing
w2_F02_14 has 7 (10.1%) missing values Missing
w2_F02_15 has 7 (10.1%) missing values Missing
w2_F02_16 has 7 (10.1%) missing values Missing
w2_F02_17 has 7 (10.1%) missing values Missing
w2_F02_18 has 7 (10.1%) missing values Missing
w2_F02_19 has 7 (10.1%) missing values Missing
w2_F02_20 has 7 (10.1%) missing values Missing
w2_F01_1 has 7 (10.1%) missing values Missing
w2_F01_2 has 7 (10.1%) missing values Missing
w2_F01_3 has 7 (10.1%) missing values Missing
w2_F01_4 has 7 (10.1%) missing values Missing
w2_F01_5 has 7 (10.1%) missing values Missing
w2_F01_6 has 7 (10.1%) missing values Missing
w2_F01_7 has 7 (10.1%) missing values Missing
w2_F01_8 has 7 (10.1%) missing values Missing
w2_F01_9 has 7 (10.1%) missing values Missing
w2_F01_10 has 7 (10.1%) missing values Missing
w2_F01_11 has 7 (10.1%) missing values Missing
w2_F01_12 has 7 (10.1%) missing values Missing
w2_F01_13 has 7 (10.1%) missing values Missing
w2_F01_14 has 7 (10.1%) missing values Missing
w2_F01_15 has 7 (10.1%) missing values Missing
w2_F01_16 has 7 (10.1%) missing values Missing
w2_F01_17 has 7 (10.1%) missing values Missing
w2_F01_18 has 7 (10.1%) missing values Missing
w2_F01_19 has 7 (10.1%) missing values Missing
w2_F01_20 has 7 (10.1%) missing values Missing
w2_F01_21 has 7 (10.1%) missing values Missing
w2_F01_22 has 7 (10.1%) missing values Missing
w2_F01_23 has 7 (10.1%) missing values Missing
w2_F01_24 has 7 (10.1%) missing values Missing
w2_F01_25 has 7 (10.1%) missing values Missing
w2_F01_26 has 7 (10.1%) missing values Missing
w2_F01_27 has 7 (10.1%) missing values Missing
w2_F01_28 has 7 (10.1%) missing values Missing
w2_F01_29 has 7 (10.1%) missing values Missing
w2_F01_30 has 7 (10.1%) missing values Missing
w2_F01_31 has 7 (10.1%) missing values Missing
w2_F01_32 has 7 (10.1%) missing values Missing
w2_F01_33 has 7 (10.1%) missing values Missing
w2_F01_34 has 7 (10.1%) missing values Missing
w2_F01_35 has 7 (10.1%) missing values Missing
w2_F01_36 has 7 (10.1%) missing values Missing
w2_F01_37 has 7 (10.1%) missing values Missing
w2_F01_38 has 7 (10.1%) missing values Missing
w2_F01_39 has 7 (10.1%) missing values Missing
w2_F01_40 has 7 (10.1%) missing values Missing
w2_GT_A1 has 5 (7.2%) missing values Missing
w2_GT_A2 has 5 (7.2%) missing values Missing
w2_GT_B has 5 (7.2%) missing values Missing
w2_GT_C has 6 (8.7%) missing values Missing
w2_GT_D has 6 (8.7%) missing values Missing
w2_GT_E has 6 (8.7%) missing values Missing
w2_GT_F has 7 (10.1%) missing values Missing
token has unique values Unique
w2_startdate has unique values Unique
w2_datestamp has unique values Unique
w2_A01_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_D06_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_A03 has 2 (2.9%) zeros Zeros
w2_interviewtime has 3 (4.3%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:45:54.207474
Analysis finished2025-02-26 16:45:54.532163
Duration0.32 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2025-02-26T17:45:54.654402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length4
Mean length8.275362319
Min length2

Characters and Unicode

Total characters571
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row299
2nd row578
3rd row2a807NcsI7jHyJw
4th row42
5th row120
ValueCountFrequency (%)
299 1
 
1.4%
578 1
 
1.4%
2a807ncsi7jhyjw 1
 
1.4%
42 1
 
1.4%
120 1
 
1.4%
1299 1
 
1.4%
979 1
 
1.4%
9k8fu0joeflivqq 1
 
1.4%
1198 1
 
1.4%
129 1
 
1.4%
Other values (59) 59
85.5%
2025-02-26T17:45:54.840635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 32
 
5.6%
z 22
 
3.9%
9 21
 
3.7%
2 19
 
3.3%
7 18
 
3.2%
8 18
 
3.2%
0 18
 
3.2%
4 18
 
3.2%
3 18
 
3.2%
6 14
 
2.5%
Other values (52) 373
65.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 571
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 32
 
5.6%
z 22
 
3.9%
9 21
 
3.7%
2 19
 
3.3%
7 18
 
3.2%
8 18
 
3.2%
0 18
 
3.2%
4 18
 
3.2%
3 18
 
3.2%
6 14
 
2.5%
Other values (52) 373
65.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 571
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 32
 
5.6%
z 22
 
3.9%
9 21
 
3.7%
2 19
 
3.3%
7 18
 
3.2%
8 18
 
3.2%
0 18
 
3.2%
4 18
 
3.2%
3 18
 
3.2%
6 14
 
2.5%
Other values (52) 373
65.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 571
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 32
 
5.6%
z 22
 
3.9%
9 21
 
3.7%
2 19
 
3.3%
7 18
 
3.2%
8 18
 
3.2%
0 18
 
3.2%
4 18
 
3.2%
3 18
 
3.2%
6 14
 
2.5%
Other values (52) 373
65.3%

w2_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2025-02-26T17:45:54.911124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters690
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetChina
2nd rowwenetChina
3rd rowwenetChina
4th rowwenetChina
5th rowwenetChina
ValueCountFrequency (%)
wenetchina 69
100.0%
2025-02-26T17:45:55.013222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 138
20.0%
n 138
20.0%
w 69
10.0%
t 69
10.0%
C 69
10.0%
h 69
10.0%
i 69
10.0%
a 69
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 690
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 138
20.0%
n 138
20.0%
w 69
10.0%
t 69
10.0%
C 69
10.0%
h 69
10.0%
i 69
10.0%
a 69
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 690
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 138
20.0%
n 138
20.0%
w 69
10.0%
t 69
10.0%
C 69
10.0%
h 69
10.0%
i 69
10.0%
a 69
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 690
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 138
20.0%
n 138
20.0%
w 69
10.0%
t 69
10.0%
C 69
10.0%
h 69
10.0%
i 69
10.0%
a 69
10.0%

w2_lastpage
Real number (ℝ)

Missing 

lastpage

Distinct4
Distinct (%)6.1%
Missing3
Missing (%)4.3%
Infinite0
Infinite (%)0.0%
Mean7.712121212
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:55.051827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.25
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.298106924
Coefficient of variation (CV)0.1683203477
Kurtosis22.1107109
Mean7.712121212
Median Absolute Deviation (MAD)0
Skewness-4.749506233
Sum509
Variance1.685081585
MonotonicityNot monotonic
2025-02-26T17:45:55.091395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
8 62
89.9%
1 2
 
2.9%
4 1
 
1.4%
7 1
 
1.4%
(Missing) 3
 
4.3%
ValueCountFrequency (%)
1 2
 
2.9%
4 1
 
1.4%
7 1
 
1.4%
8 62
89.9%
ValueCountFrequency (%)
8 62
89.9%
7 1
 
1.4%
4 1
 
1.4%
1 2
 
2.9%

w2_submitdate
Date

Missing 

submitdate

Distinct62
Distinct (%)100.0%
Missing7
Missing (%)10.1%
Memory size684.0 B
Minimum2021-05-11 04:19:20
Maximum2021-05-29 08:25:12
2025-02-26T17:45:55.137239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:55.191376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2025-02-26T17:45:55.247753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters483
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowzh-Hans
2nd rowzh-Hans
3rd rowzh-Hans
4th rowzh-Hans
5th rowzh-Hans
ValueCountFrequency (%)
zh-hans 69
100.0%
2025-02-26T17:45:55.338093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 69
14.3%
h 69
14.3%
- 69
14.3%
H 69
14.3%
a 69
14.3%
n 69
14.3%
s 69
14.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 483
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 69
14.3%
h 69
14.3%
- 69
14.3%
H 69
14.3%
a 69
14.3%
n 69
14.3%
s 69
14.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 483
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 69
14.3%
h 69
14.3%
- 69
14.3%
H 69
14.3%
a 69
14.3%
n 69
14.3%
s 69
14.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 483
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 69
14.3%
h 69
14.3%
- 69
14.3%
H 69
14.3%
a 69
14.3%
n 69
14.3%
s 69
14.3%

w2_startdate
Date

Unique 

startdate

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2021-05-11 04:11:21
Maximum2021-05-29 08:15:33
2025-02-26T17:45:55.386400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:55.441093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_datestamp
Date

Unique 

datestamp

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2021-05-11 04:19:20
Maximum2021-05-29 08:25:12
2025-02-26T17:45:55.494919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:55.549089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_refurl
Text

Constant  Missing 

refurl

Distinct1
Distinct (%)2.4%
Missing27
Missing (%)39.1%
Memory size861.0 B
2025-02-26T17:45:55.593894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters168
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmail
2nd rowmail
3rd rowmail
4th rowmail
5th rowmail
ValueCountFrequency (%)
mail 42
100.0%
2025-02-26T17:45:55.669571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 42
25.0%
a 42
25.0%
i 42
25.0%
l 42
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 168
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
m 42
25.0%
a 42
25.0%
i 42
25.0%
l 42
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 168
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
m 42
25.0%
a 42
25.0%
i 42
25.0%
l 42
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 168
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
m 42
25.0%
a 42
25.0%
i 42
25.0%
l 42
25.0%

w2_A01
Real number (ℝ)

Missing 

With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________

Distinct4
Distinct (%)6.2%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean2.046875
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:55.710273image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4151759046
Coefficient of variation (CV)0.2028340297
Kurtosis42.73461836
Mean2.046875
Median Absolute Deviation (MAD)0
Skewness5.83065454
Sum131
Variance0.1723710317
MonotonicityNot monotonic
2025-02-26T17:45:55.750733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 61
88.4%
5 1
 
1.4%
3 1
 
1.4%
1 1
 
1.4%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
1 1
 
1.4%
2 61
88.4%
3 1
 
1.4%
5 1
 
1.4%
ValueCountFrequency (%)
5 1
 
1.4%
3 1
 
1.4%
2 61
88.4%
1 1
 
1.4%

w2_A01_other
Unsupported

Missing  Rejected  Unsupported 

With whom do you live? Answer: Other, please specify: ________

Missing69
Missing (%)100.0%
Memory size693.0 B

w2_A02
Real number (ℝ)

Missing 

In addition to you, how many people do you share the accommodation with? |__|

Distinct8
Distinct (%)13.3%
Missing9
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean3.25
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:55.789464image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile5.05
Maximum18
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.159919961
Coefficient of variation (CV)0.6645907572
Kurtosis38.2046736
Mean3.25
Median Absolute Deviation (MAD)0
Skewness5.751907
Sum195
Variance4.665254237
MonotonicityNot monotonic
2025-02-26T17:45:55.826151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 46
66.7%
2 7
 
10.1%
1 2
 
2.9%
8 1
 
1.4%
6 1
 
1.4%
4 1
 
1.4%
5 1
 
1.4%
18 1
 
1.4%
(Missing) 9
 
13.0%
ValueCountFrequency (%)
1 2
 
2.9%
2 7
 
10.1%
3 46
66.7%
4 1
 
1.4%
5 1
 
1.4%
ValueCountFrequency (%)
18 1
1.4%
8 1
1.4%
6 1
1.4%
5 1
1.4%
4 1
1.4%

w2_A03
Real number (ℝ)

Missing  Zeros 

How many of these people attend university? |__|

Distinct7
Distinct (%)12.1%
Missing11
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean3.034482759
Minimum0
Maximum12
Zeros2
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:55.864828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median3
Q33
95-th percentile4.3
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.532862444
Coefficient of variation (CV)0.5051478508
Kurtosis20.94556573
Mean3.034482759
Median Absolute Deviation (MAD)0
Skewness3.511994481
Sum176
Variance2.349667272
MonotonicityNot monotonic
2025-02-26T17:45:55.906628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 42
60.9%
2 6
 
8.7%
4 3
 
4.3%
1 2
 
2.9%
6 2
 
2.9%
0 2
 
2.9%
12 1
 
1.4%
(Missing) 11
 
15.9%
ValueCountFrequency (%)
0 2
 
2.9%
1 2
 
2.9%
2 6
 
8.7%
3 42
60.9%
4 3
 
4.3%
ValueCountFrequency (%)
12 1
 
1.4%
6 2
 
2.9%
4 3
 
4.3%
3 42
60.9%
2 6
 
8.7%

w2_A04
Real number (ℝ)

Missing 

Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.951612903
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:55.943650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2821126013
Coefficient of variation (CV)0.09557913269
Kurtosis40.61639496
Mean2.951612903
Median Absolute Deviation (MAD)0
Skewness-6.253246374
Sum183
Variance0.07958751983
MonotonicityNot monotonic
2025-02-26T17:45:56.041885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 60
87.0%
2 1
 
1.4%
1 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
3 60
87.0%
ValueCountFrequency (%)
3 60
87.0%
2 1
 
1.4%
1 1
 
1.4%

w2_A05_1
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)

Distinct1
Distinct (%)1.6%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
63 
(Missing)
 
6
ValueCountFrequency (%)
False 63
91.3%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.081163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_2
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)

Distinct1
Distinct (%)1.6%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
63 
(Missing)
 
6
ValueCountFrequency (%)
False 63
91.3%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.110052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_3
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system

Distinct1
Distinct (%)1.6%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
63 
(Missing)
 
6
ValueCountFrequency (%)
False 63
91.3%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.139707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_4
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV

Distinct1
Distinct (%)1.6%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
63 
(Missing)
 
6
ValueCountFrequency (%)
False 63
91.3%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.168562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_5
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC

Distinct1
Distinct (%)1.6%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
63 
(Missing)
 
6
ValueCountFrequency (%)
False 63
91.3%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.197981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_6
Boolean

Imbalance  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
True
61 
False
 
2
(Missing)
 
6
ValueCountFrequency (%)
True 61
88.4%
False 2
 
2.9%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.227717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_7
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
True
32 
False
31 
(Missing)
ValueCountFrequency (%)
True 32
46.4%
False 31
44.9%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.259365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_8
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone

Distinct1
Distinct (%)1.6%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
63 
(Missing)
 
6
ValueCountFrequency (%)
False 63
91.3%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.291659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_9
Boolean

Constant  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher

Distinct1
Distinct (%)1.6%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
63 
(Missing)
 
6
ValueCountFrequency (%)
False 63
91.3%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.320473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_10
Boolean

Imbalance  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
True
59 
False
 
4
(Missing)
ValueCountFrequency (%)
True 59
85.5%
False 4
 
5.8%
(Missing) 6
 
8.7%
2025-02-26T17:45:56.352689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A06_1
Real number (ℝ)

Missing 

All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________

Distinct10
Distinct (%)16.1%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean16.98387097
Minimum5
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:56.388345image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q110
median15
Q320
95-th percentile30
Maximum40
Range35
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.469044171
Coefficient of variation (CV)0.4397727812
Kurtosis0.8248738452
Mean16.98387097
Median Absolute Deviation (MAD)5
Skewness0.9606672987
Sum1053
Variance55.78662084
MonotonicityNot monotonic
2025-02-26T17:45:56.430238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
15.0 18
26.1%
20.0 15
21.7%
10.0 14
20.3%
30.0 7
 
10.1%
5.0 3
 
4.3%
35.0 1
 
1.4%
18.0 1
 
1.4%
40.0 1
 
1.4%
12.0 1
 
1.4%
13.0 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
5.0 3
 
4.3%
10.0 14
20.3%
12.0 1
 
1.4%
13.0 1
 
1.4%
15.0 18
26.1%
ValueCountFrequency (%)
40.0 1
 
1.4%
35.0 1
 
1.4%
30.0 7
10.1%
20.0 15
21.7%
18.0 1
 
1.4%

w2_A06_2
Real number (ℝ)

Missing 

All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)

Distinct19
Distinct (%)30.6%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.439193548
Minimum0.4
Maximum3.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:56.473778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.705
Q11
median1.2
Q32
95-th percentile2.595
Maximum3.5
Range3.1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6431181682
Coefficient of variation (CV)0.4468600967
Kurtosis0.6749329188
Mean1.439193548
Median Absolute Deviation (MAD)0.3
Skewness0.9472884372
Sum89.23
Variance0.4136009783
MonotonicityNot monotonic
2025-02-26T17:45:56.525596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.0 18
26.1%
2.0 11
15.9%
1.5 6
 
8.7%
1.2 4
 
5.8%
0.8 3
 
4.3%
1.1 3
 
4.3%
1.3 2
 
2.9%
2.6 2
 
2.9%
2.5 2
 
2.9%
0.5 2
 
2.9%
Other values (9) 9
13.0%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
0.4 1
 
1.4%
0.5 2
2.9%
0.7 1
 
1.4%
0.8 3
4.3%
0.83 1
 
1.4%
ValueCountFrequency (%)
3.5 1
1.4%
3.0 1
1.4%
2.6 2
2.9%
2.5 2
2.9%
2.3 1
1.4%

w2_A07
Real number (ℝ)

Missing 

Have you been in paid employment in the last year or so? 1. Yes 2. No

Distinct2
Distinct (%)3.1%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:56.571152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5039526307
Coefficient of variation (CV)0.3359684205
Kurtosis-2.06557377
Mean1.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum96
Variance0.253968254
MonotonicityNot monotonic
2025-02-26T17:45:56.612694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 32
46.4%
2 32
46.4%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
1 32
46.4%
2 32
46.4%
ValueCountFrequency (%)
2 32
46.4%
1 32
46.4%

w2_A08
Real number (ℝ)

Missing 

Do you currently do any work, including occasional work? 1. Yes 2. No

Distinct2
Distinct (%)3.1%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean1.765625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:56.654863image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4269562819
Coefficient of variation (CV)0.2418159473
Kurtosis-0.362619929
Mean1.765625
Median Absolute Deviation (MAD)0
Skewness-1.284410419
Sum113
Variance0.1822916667
MonotonicityNot monotonic
2025-02-26T17:45:56.694562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 49
71.0%
1 15
 
21.7%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
1 15
 
21.7%
2 49
71.0%
ValueCountFrequency (%)
2 49
71.0%
1 15
 
21.7%

w2_B01_1
Real number (ℝ)

Missing 

Do you have a car driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.777777778
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:56.732279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4190790381
Coefficient of variation (CV)0.2357319589
Kurtosis-0.1306791569
Mean1.777777778
Median Absolute Deviation (MAD)0
Skewness-1.369122384
Sum112
Variance0.1756272401
MonotonicityNot monotonic
2025-02-26T17:45:56.770927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 49
71.0%
1 14
 
20.3%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 14
 
20.3%
2 49
71.0%
ValueCountFrequency (%)
2 49
71.0%
1 14
 
20.3%

w2_B01_2
Real number (ℝ)

Constant  Missing 

Do you have a motorbike driver’s license? 1. Yes, 2. No

Distinct1
Distinct (%)1.6%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:56.806253image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum124
Variance0
MonotonicityIncreasing
2025-02-26T17:45:56.846383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 62
89.9%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
2 62
89.9%
ValueCountFrequency (%)
2 62
89.9%

w2_B01_3
Real number (ℝ)

Missing 

Do you have a bike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)3.1%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean1.515625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:56.885985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5037065
Coefficient of variation (CV)0.332342433
Kurtosis-2.061340103
Mean1.515625
Median Absolute Deviation (MAD)0
Skewness-0.06404139021
Sum97
Variance0.2537202381
MonotonicityNot monotonic
2025-02-26T17:45:56.924101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 33
47.8%
1 31
44.9%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
1 31
44.9%
2 33
47.8%
ValueCountFrequency (%)
2 33
47.8%
1 31
44.9%

w2_B01_4
Real number (ℝ)

Missing 

Do you have a car of your own? 1. Yes, 2. No

Distinct2
Distinct (%)3.2%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.983870968
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:56.973886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)0.06401632418
Kurtosis62
Mean1.983870968
Median Absolute Deviation (MAD)0
Skewness-7.874007874
Sum123
Variance0.01612903226
MonotonicityIncreasing
2025-02-26T17:45:57.015879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 61
88.4%
1 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 1
 
1.4%
2 61
88.4%
ValueCountFrequency (%)
2 61
88.4%
1 1
 
1.4%

w2_B01_5
Real number (ℝ)

Constant  Missing 

Do you have a motorbike of your own? 1. Yes, 2. No

Distinct1
Distinct (%)1.6%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:57.056025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum124
Variance0
MonotonicityIncreasing
2025-02-26T17:45:57.099704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 62
89.9%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
2 62
89.9%
ValueCountFrequency (%)
2 62
89.9%

w2_B01_6
Real number (ℝ)

Missing 

Do you have access to a car whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)3.2%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.983870968
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:57.151065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.127000127
Coefficient of variation (CV)0.06401632418
Kurtosis62
Mean1.983870968
Median Absolute Deviation (MAD)0
Skewness-7.874007874
Sum123
Variance0.01612903226
MonotonicityNot monotonic
2025-02-26T17:45:57.215024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 61
88.4%
1 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 1
 
1.4%
2 61
88.4%
ValueCountFrequency (%)
2 61
88.4%
1 1
 
1.4%

w2_B01_7
Real number (ℝ)

Constant  Missing 

Do you have access to a motorbike whenever you want? 1. Yes, 2. No

Distinct1
Distinct (%)1.6%
Missing8
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:57.264304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum122
Variance0
MonotonicityIncreasing
2025-02-26T17:45:57.314167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 61
88.4%
(Missing) 8
 
11.6%
ValueCountFrequency (%)
2 61
88.4%
ValueCountFrequency (%)
2 61
88.4%

w2_B02_1
Boolean

Constant  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct1
Distinct (%)1.6%
Missing5
Missing (%)7.2%
Memory size270.0 B
True
64 
(Missing)
 
5
ValueCountFrequency (%)
True 64
92.8%
(Missing) 5
 
7.2%
2025-02-26T17:45:57.360795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_2
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
35 
True
28 
(Missing)
ValueCountFrequency (%)
False 35
50.7%
True 28
40.6%
(Missing) 6
 
8.7%
2025-02-26T17:45:57.401428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_3
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
53 
True
10 
(Missing)
ValueCountFrequency (%)
False 53
76.8%
True 10
 
14.5%
(Missing) 6
 
8.7%
2025-02-26T17:45:57.446103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_4
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
56 
True
(Missing)
ValueCountFrequency (%)
False 56
81.2%
True 7
 
10.1%
(Missing) 6
 
8.7%
2025-02-26T17:45:57.483197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_5
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
61 
True
 
2
(Missing)
 
6
ValueCountFrequency (%)
False 61
88.4%
True 2
 
2.9%
(Missing) 6
 
8.7%
2025-02-26T17:45:57.517329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_6
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
True
46 
False
17 
(Missing)
ValueCountFrequency (%)
True 46
66.7%
False 17
 
24.6%
(Missing) 6
 
8.7%
2025-02-26T17:45:57.551399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_7
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
51 
True
12 
(Missing)
ValueCountFrequency (%)
False 51
73.9%
True 12
 
17.4%
(Missing) 6
 
8.7%
2025-02-26T17:45:57.585993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_8
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Memory size270.0 B
False
55 
True
(Missing)
ValueCountFrequency (%)
False 55
79.7%
True 8
 
11.6%
(Missing) 6
 
8.7%
2025-02-26T17:45:57.619738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B03
Real number (ℝ)

Missing 

How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday

Distinct5
Distinct (%)7.8%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean2.640625
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:57.654359image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9978896383
Coefficient of variation (CV)0.3778990346
Kurtosis-0.4190961419
Mean2.640625
Median Absolute Deviation (MAD)0
Skewness0.9828559274
Sum169
Variance0.9957837302
MonotonicityNot monotonic
2025-02-26T17:45:57.694439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 41
59.4%
4 14
 
20.3%
3 5
 
7.2%
5 3
 
4.3%
1 1
 
1.4%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
1 1
 
1.4%
2 41
59.4%
3 5
 
7.2%
4 14
 
20.3%
5 3
 
4.3%
ValueCountFrequency (%)
5 3
 
4.3%
4 14
 
20.3%
3 5
 
7.2%
2 41
59.4%
1 1
 
1.4%

w2_C01
Real number (ℝ)

Missing 

Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]

Distinct3
Distinct (%)4.8%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean2.015873016
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:57.733841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6088610068
Coefficient of variation (CV)0.3020334128
Kurtosis-0.1807952378
Mean2.015873016
Median Absolute Deviation (MAD)0
Skewness-0.006991514885
Sum127
Variance0.3707117256
MonotonicityNot monotonic
2025-02-26T17:45:57.774548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 40
58.0%
3 12
 
17.4%
1 11
 
15.9%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 11
 
15.9%
2 40
58.0%
3 12
 
17.4%
ValueCountFrequency (%)
3 12
 
17.4%
2 40
58.0%
1 11
 
15.9%

w2_C02
Real number (ℝ)

Constant  Missing 

Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.

Distinct1
Distinct (%)2.0%
Missing19
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean3
Minimum3
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:57.830992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum3
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean3
Median Absolute Deviation (MAD)0
Skewness0
Sum150
Variance0
MonotonicityIncreasing
2025-02-26T17:45:57.891184image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
3 50
72.5%
(Missing) 19
 
27.5%
ValueCountFrequency (%)
3 50
72.5%
ValueCountFrequency (%)
3 50
72.5%

w2_C03_1
Real number (ℝ)

Missing 

How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)15.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.901960784
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:57.943999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.563239372
Coefficient of variation (CV)0.6569105928
Kurtosis-1.3413584
Mean3.901960784
Median Absolute Deviation (MAD)2
Skewness0.3728779375
Sum199
Variance6.570196078
MonotonicityNot monotonic
2025-02-26T17:45:57.986791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 13
18.8%
2 7
 
10.1%
3 7
 
10.1%
8 7
 
10.1%
7 5
 
7.2%
5 4
 
5.8%
4 4
 
5.8%
6 4
 
5.8%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 13
18.8%
2 7
10.1%
3 7
10.1%
4 4
 
5.8%
5 4
 
5.8%
ValueCountFrequency (%)
8 7
10.1%
7 5
7.2%
6 4
5.8%
5 4
5.8%
4 4
5.8%

w2_C03_2
Real number (ℝ)

Missing 

How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)15.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean5.509803922
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.026779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q14
median6
Q37
95-th percentile7.5
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.713155557
Coefficient of variation (CV)0.3109285885
Kurtosis-0.2761811432
Mean5.509803922
Median Absolute Deviation (MAD)1
Skewness-0.6756318456
Sum281
Variance2.934901961
MonotonicityNot monotonic
2025-02-26T17:45:58.071422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 17
24.6%
5 9
13.0%
6 8
11.6%
4 7
 
10.1%
3 4
 
5.8%
8 3
 
4.3%
2 2
 
2.9%
1 1
 
1.4%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 1
 
1.4%
2 2
 
2.9%
3 4
5.8%
4 7
10.1%
5 9
13.0%
ValueCountFrequency (%)
8 3
 
4.3%
7 17
24.6%
6 8
11.6%
5 9
13.0%
4 7
10.1%

w2_C03_3
Real number (ℝ)

Missing 

How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)15.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.862745098
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.114836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7.5
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.218284092
Coefficient of variation (CV)0.5742765924
Kurtosis-1.062558433
Mean3.862745098
Median Absolute Deviation (MAD)2
Skewness0.3746167991
Sum197
Variance4.920784314
MonotonicityNot monotonic
2025-02-26T17:45:58.241976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 11
15.9%
4 8
11.6%
1 8
11.6%
7 7
 
10.1%
5 7
 
10.1%
3 5
 
7.2%
8 3
 
4.3%
6 2
 
2.9%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 8
11.6%
2 11
15.9%
3 5
7.2%
4 8
11.6%
5 7
10.1%
ValueCountFrequency (%)
8 3
 
4.3%
7 7
10.1%
6 2
 
2.9%
5 7
10.1%
4 8
11.6%

w2_C03_4
Real number (ℝ)

Missing 

How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)15.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.196078431
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.316166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.35813153
Coefficient of variation (CV)0.7378202947
Kurtosis-0.5128828203
Mean3.196078431
Median Absolute Deviation (MAD)1
Skewness0.8795473138
Sum163
Variance5.560784314
MonotonicityNot monotonic
2025-02-26T17:45:58.399437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 17
24.6%
2 10
14.5%
4 9
13.0%
7 5
 
7.2%
3 4
 
5.8%
8 4
 
5.8%
6 1
 
1.4%
5 1
 
1.4%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 17
24.6%
2 10
14.5%
3 4
 
5.8%
4 9
13.0%
5 1
 
1.4%
ValueCountFrequency (%)
8 4
5.8%
7 5
7.2%
6 1
 
1.4%
5 1
 
1.4%
4 9
13.0%

w2_C03_5
Real number (ℝ)

Missing 

How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)15.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean5.274509804
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.442317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile7.5
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.767240011
Coefficient of variation (CV)0.3350529388
Kurtosis-0.4642158638
Mean5.274509804
Median Absolute Deviation (MAD)1
Skewness-0.5267119739
Sum269
Variance3.123137255
MonotonicityNot monotonic
2025-02-26T17:45:58.482943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 13
18.8%
5 10
14.5%
6 9
13.0%
4 8
11.6%
2 4
 
5.8%
3 3
 
4.3%
8 3
 
4.3%
1 1
 
1.4%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 1
 
1.4%
2 4
 
5.8%
3 3
 
4.3%
4 8
11.6%
5 10
14.5%
ValueCountFrequency (%)
8 3
 
4.3%
7 13
18.8%
6 9
13.0%
5 10
14.5%
4 8
11.6%

w2_C04
Real number (ℝ)

Missing 

How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never

Distinct4
Distinct (%)7.8%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean4.215686275
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.522251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7018183665
Coefficient of variation (CV)0.1664778451
Kurtosis7.725946783
Mean4.215686275
Median Absolute Deviation (MAD)0
Skewness-1.773262219
Sum215
Variance0.4925490196
MonotonicityNot monotonic
2025-02-26T17:45:58.624988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 32
46.4%
5 16
23.2%
3 2
 
2.9%
1 1
 
1.4%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 1
 
1.4%
3 2
 
2.9%
4 32
46.4%
5 16
23.2%
ValueCountFrequency (%)
5 16
23.2%
4 32
46.4%
3 2
 
2.9%
1 1
 
1.4%

w2_C05_1
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.

Distinct7
Distinct (%)13.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean5.235294118
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.666189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.773000116
Coefficient of variation (CV)0.3386629435
Kurtosis-0.7784199889
Mean5.235294118
Median Absolute Deviation (MAD)2
Skewness-0.5737256076
Sum267
Variance3.143529412
MonotonicityNot monotonic
2025-02-26T17:45:58.703737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 20
29.0%
4 11
15.9%
5 7
 
10.1%
6 5
 
7.2%
2 4
 
5.8%
3 3
 
4.3%
1 1
 
1.4%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 1
 
1.4%
2 4
 
5.8%
3 3
 
4.3%
4 11
15.9%
5 7
10.1%
ValueCountFrequency (%)
7 20
29.0%
6 5
 
7.2%
5 7
 
10.1%
4 11
15.9%
3 3
 
4.3%

w2_C05_2
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.

Distinct6
Distinct (%)11.8%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.741659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.574801575
Coefficient of variation (CV)0.5249338583
Kurtosis-0.7981561511
Mean3
Median Absolute Deviation (MAD)1
Skewness0.3837594358
Sum153
Variance2.48
MonotonicityNot monotonic
2025-02-26T17:45:58.780084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 12
17.4%
1 11
15.9%
2 11
15.9%
3 9
13.0%
6 5
 
7.2%
5 3
 
4.3%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 11
15.9%
2 11
15.9%
3 9
13.0%
4 12
17.4%
5 3
 
4.3%
ValueCountFrequency (%)
6 5
7.2%
5 3
 
4.3%
4 12
17.4%
3 9
13.0%
2 11
15.9%

w2_C05_3
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.

Distinct7
Distinct (%)13.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.588235294
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.814969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q12
median3
Q34.5
95-th percentile6.5
Maximum7
Range6
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.589672552
Coefficient of variation (CV)0.4430234982
Kurtosis-0.4403935742
Mean3.588235294
Median Absolute Deviation (MAD)1
Skewness0.4696974515
Sum183
Variance2.527058824
MonotonicityNot monotonic
2025-02-26T17:45:58.851381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 12
17.4%
2 12
17.4%
3 11
15.9%
5 6
 
8.7%
6 4
 
5.8%
7 3
 
4.3%
1 3
 
4.3%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 3
 
4.3%
2 12
17.4%
3 11
15.9%
4 12
17.4%
5 6
8.7%
ValueCountFrequency (%)
7 3
 
4.3%
6 4
 
5.8%
5 6
8.7%
4 12
17.4%
3 11
15.9%

w2_C05_4
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly

Distinct6
Distinct (%)11.8%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean2.352941176
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.886380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.230016738
Coefficient of variation (CV)0.5227571138
Kurtosis2.740661423
Mean2.352941176
Median Absolute Deviation (MAD)1
Skewness1.226656126
Sum120
Variance1.512941176
MonotonicityNot monotonic
2025-02-26T17:45:58.923786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 16
23.2%
1 14
20.3%
3 14
20.3%
4 5
 
7.2%
5 1
 
1.4%
7 1
 
1.4%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 14
20.3%
2 16
23.2%
3 14
20.3%
4 5
 
7.2%
5 1
 
1.4%
ValueCountFrequency (%)
7 1
 
1.4%
5 1
 
1.4%
4 5
 
7.2%
3 14
20.3%
2 16
23.2%

w2_C05_5
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.

Distinct6
Distinct (%)11.8%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean5.31372549
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:58.959242image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.691037505
Coefficient of variation (CV)0.3182395305
Kurtosis-0.3026755502
Mean5.31372549
Median Absolute Deviation (MAD)1
Skewness-0.6979860685
Sum271
Variance2.859607843
MonotonicityNot monotonic
2025-02-26T17:45:58.995606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 19
27.5%
4 9
13.0%
5 8
11.6%
6 7
 
10.1%
3 6
 
8.7%
1 2
 
2.9%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 2
 
2.9%
3 6
8.7%
4 9
13.0%
5 8
11.6%
6 7
10.1%
ValueCountFrequency (%)
7 19
27.5%
6 7
 
10.1%
5 8
11.6%
4 9
13.0%
3 6
 
8.7%

w2_C05_6
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.

Distinct7
Distinct (%)13.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.725490196
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:59.030806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.650193096
Coefficient of variation (CV)0.4429465679
Kurtosis-0.6893740151
Mean3.725490196
Median Absolute Deviation (MAD)1
Skewness0.4038660822
Sum190
Variance2.723137255
MonotonicityNot monotonic
2025-02-26T17:45:59.068573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 14
20.3%
4 13
18.8%
5 7
 
10.1%
3 7
 
10.1%
6 4
 
5.8%
7 4
 
5.8%
1 2
 
2.9%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 2
 
2.9%
2 14
20.3%
3 7
10.1%
4 13
18.8%
5 7
10.1%
ValueCountFrequency (%)
7 4
 
5.8%
6 4
 
5.8%
5 7
10.1%
4 13
18.8%
3 7
10.1%

w2_C05_7
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.

Distinct7
Distinct (%)13.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.921568627
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:59.104408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.853031433
Coefficient of variation (CV)0.4725230153
Kurtosis-0.9873750507
Mean3.921568627
Median Absolute Deviation (MAD)2
Skewness0.1387843477
Sum200
Variance3.43372549
MonotonicityNot monotonic
2025-02-26T17:45:59.143022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 12
17.4%
2 9
13.0%
3 7
 
10.1%
5 6
 
8.7%
7 6
 
8.7%
6 6
 
8.7%
1 5
 
7.2%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 5
7.2%
2 9
13.0%
3 7
10.1%
4 12
17.4%
5 6
8.7%
ValueCountFrequency (%)
7 6
8.7%
6 6
8.7%
5 6
8.7%
4 12
17.4%
3 7
10.1%

w2_C05_8
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.

Distinct5
Distinct (%)9.8%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean2.411764706
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:59.183937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.416707035
Coefficient of variation (CV)0.5874151121
Kurtosis0.3253226019
Mean2.411764706
Median Absolute Deviation (MAD)1
Skewness1.021074304
Sum123
Variance2.007058824
MonotonicityNot monotonic
2025-02-26T17:45:59.224904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 20
29.0%
1 15
21.7%
4 11
15.9%
6 3
 
4.3%
3 2
 
2.9%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 15
21.7%
2 20
29.0%
3 2
 
2.9%
4 11
15.9%
6 3
 
4.3%
ValueCountFrequency (%)
6 3
 
4.3%
4 11
15.9%
3 2
 
2.9%
2 20
29.0%
1 15
21.7%

w2_C05_9
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.

Distinct7
Distinct (%)13.7%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean5.176470588
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:59.262587image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.681735798
Coefficient of variation (CV)0.3248807792
Kurtosis-0.4181539574
Mean5.176470588
Median Absolute Deviation (MAD)1
Skewness-0.6833760932
Sum264
Variance2.828235294
MonotonicityNot monotonic
2025-02-26T17:45:59.302543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 15
21.7%
5 12
17.4%
6 9
13.0%
4 6
 
8.7%
2 4
 
5.8%
3 4
 
5.8%
1 1
 
1.4%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 1
 
1.4%
2 4
 
5.8%
3 4
 
5.8%
4 6
8.7%
5 12
17.4%
ValueCountFrequency (%)
7 15
21.7%
6 9
13.0%
5 12
17.4%
4 6
 
8.7%
3 4
 
5.8%

w2_C06_1
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips

Distinct2
Distinct (%)3.9%
Missing18
Missing (%)26.1%
Memory size270.0 B
True
37 
False
14 
(Missing)
18 
ValueCountFrequency (%)
True 37
53.6%
False 14
 
20.3%
(Missing) 18
26.1%
2025-02-26T17:45:59.343301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_2
Boolean

Imbalance  Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes

Distinct2
Distinct (%)3.9%
Missing18
Missing (%)26.1%
Memory size270.0 B
True
48 
False
 
3
(Missing)
18 
ValueCountFrequency (%)
True 48
69.6%
False 3
 
4.3%
(Missing) 18
 
26.1%
2025-02-26T17:45:59.378625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_3
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
34 
True
16 
(Missing)
19 
ValueCountFrequency (%)
False 34
49.3%
True 16
23.2%
(Missing) 19
27.5%
2025-02-26T17:45:59.411912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_4
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
26 
True
24 
(Missing)
19 
ValueCountFrequency (%)
False 26
37.7%
True 24
34.8%
(Missing) 19
27.5%
2025-02-26T17:45:59.444655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_5
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
35 
True
15 
(Missing)
19 
ValueCountFrequency (%)
False 35
50.7%
True 15
21.7%
(Missing) 19
27.5%
2025-02-26T17:45:59.475761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_6
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
36 
True
14 
(Missing)
19 
ValueCountFrequency (%)
False 36
52.2%
True 14
 
20.3%
(Missing) 19
27.5%
2025-02-26T17:45:59.506705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_1
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
True
30 
False
20 
(Missing)
19 
ValueCountFrequency (%)
True 30
43.5%
False 20
29.0%
(Missing) 19
27.5%
2025-02-26T17:45:59.538674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_2
Boolean

Imbalance  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
48 
True
 
2
(Missing)
19 
ValueCountFrequency (%)
False 48
69.6%
True 2
 
2.9%
(Missing) 19
 
27.5%
2025-02-26T17:45:59.569166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_3
Boolean

Imbalance  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
49 
True
 
1
(Missing)
19 
ValueCountFrequency (%)
False 49
71.0%
True 1
 
1.4%
(Missing) 19
 
27.5%
2025-02-26T17:45:59.599061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_4
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
41 
True
(Missing)
19 
ValueCountFrequency (%)
False 41
59.4%
True 9
 
13.0%
(Missing) 19
27.5%
2025-02-26T17:45:59.630467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_5
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
37 
True
13 
(Missing)
19 
ValueCountFrequency (%)
False 37
53.6%
True 13
 
18.8%
(Missing) 19
27.5%
2025-02-26T17:45:59.662211image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_6
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)4.0%
Missing19
Missing (%)27.5%
Memory size270.0 B
False
26 
True
24 
(Missing)
19 
ValueCountFrequency (%)
False 26
37.7%
True 24
34.8%
(Missing) 19
27.5%
2025-02-26T17:45:59.693270image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_7
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)3.9%
Missing18
Missing (%)26.1%
Memory size270.0 B
True
37 
False
14 
(Missing)
18 
ValueCountFrequency (%)
True 37
53.6%
False 14
 
20.3%
(Missing) 18
26.1%
2025-02-26T17:45:59.725523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C08
Real number (ℝ)

Missing 

Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)3.9%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean1.176470588
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:59.758408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3850133688
Coefficient of variation (CV)0.3272613634
Kurtosis1.101392938
Mean1.176470588
Median Absolute Deviation (MAD)0
Skewness1.749210397
Sum60
Variance0.1482352941
MonotonicityNot monotonic
2025-02-26T17:45:59.795912image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 42
60.9%
2 9
 
13.0%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 42
60.9%
2 9
 
13.0%
ValueCountFrequency (%)
2 9
 
13.0%
1 42
60.9%

w2_C09
Real number (ℝ)

Missing 

Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday

Distinct5
Distinct (%)9.8%
Missing18
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean2.980392157
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:59.831664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.157414292
Coefficient of variation (CV)0.3883429532
Kurtosis-1.006440208
Mean2.980392157
Median Absolute Deviation (MAD)1
Skewness-0.2021858642
Sum152
Variance1.339607843
MonotonicityNot monotonic
2025-02-26T17:45:59.873119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 18
26.1%
2 13
18.8%
3 11
15.9%
1 6
 
8.7%
5 3
 
4.3%
(Missing) 18
26.1%
ValueCountFrequency (%)
1 6
 
8.7%
2 13
18.8%
3 11
15.9%
4 18
26.1%
5 3
 
4.3%
ValueCountFrequency (%)
5 3
 
4.3%
4 18
26.1%
3 11
15.9%
2 13
18.8%
1 6
 
8.7%

w2_C10_1
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.577777778
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:45:59.913251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7534432744
Coefficient of variation (CV)0.2922840288
Kurtosis-0.4849351383
Mean2.577777778
Median Absolute Deviation (MAD)0
Skewness0.5575110712
Sum116
Variance0.5676767677
MonotonicityNot monotonic
2025-02-26T17:45:59.949703image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 23
33.3%
3 15
21.7%
4 6
 
8.7%
1 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 1
 
1.4%
2 23
33.3%
3 15
21.7%
4 6
 
8.7%
ValueCountFrequency (%)
4 6
 
8.7%
3 15
21.7%
2 23
33.3%
1 1
 
1.4%

w2_C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.066666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.001683image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.809039835
Coefficient of variation (CV)0.3914708879
Kurtosis-0.1897737993
Mean2.066666667
Median Absolute Deviation (MAD)1
Skewness0.41440644
Sum93
Variance0.6545454545
MonotonicityNot monotonic
2025-02-26T17:46:00.042333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 22
31.9%
1 11
15.9%
3 10
14.5%
4 2
 
2.9%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 11
15.9%
2 22
31.9%
3 10
14.5%
4 2
 
2.9%
ValueCountFrequency (%)
4 2
 
2.9%
3 10
14.5%
2 22
31.9%
1 11
15.9%

w2_C10_3
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)6.7%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.288888889
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.087771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5486438745
Coefficient of variation (CV)0.4256719716
Kurtosis2.443036671
Mean1.288888889
Median Absolute Deviation (MAD)0
Skewness1.791098461
Sum58
Variance0.301010101
MonotonicityNot monotonic
2025-02-26T17:46:00.133333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 34
49.3%
2 9
 
13.0%
3 2
 
2.9%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 34
49.3%
2 9
 
13.0%
3 2
 
2.9%
ValueCountFrequency (%)
3 2
 
2.9%
2 9
 
13.0%
1 34
49.3%

w2_C10_4
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.844444444
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.174446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7964568
Coefficient of variation (CV)0.4318139277
Kurtosis-0.3345713013
Mean1.844444444
Median Absolute Deviation (MAD)1
Skewness0.5740782911
Sum83
Variance0.6343434343
MonotonicityNot monotonic
2025-02-26T17:46:00.212919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 19
27.5%
1 17
24.6%
3 8
 
11.6%
4 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 17
24.6%
2 19
27.5%
3 8
11.6%
4 1
 
1.4%
ValueCountFrequency (%)
4 1
 
1.4%
3 8
11.6%
2 19
27.5%
1 17
24.6%

w2_C10_5
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct3
Distinct (%)6.7%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.252604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7071067812
Coefficient of variation (CV)0.4242640687
Kurtosis-0.7846572033
Mean1.666666667
Median Absolute Deviation (MAD)1
Skewness0.5830267329
Sum75
Variance0.5
MonotonicityNot monotonic
2025-02-26T17:46:00.292532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 21
30.4%
2 18
26.1%
3 6
 
8.7%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 21
30.4%
2 18
26.1%
3 6
 
8.7%
ValueCountFrequency (%)
3 6
 
8.7%
2 18
26.1%
1 21
30.4%

w2_C10_6
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.688888889
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.331367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7634319111
Coefficient of variation (CV)0.4520320526
Kurtosis0.480489445
Mean1.688888889
Median Absolute Deviation (MAD)1
Skewness0.9242135812
Sum76
Variance0.5828282828
MonotonicityNot monotonic
2025-02-26T17:46:00.367536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 21
30.4%
2 18
26.1%
3 5
 
7.2%
4 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 21
30.4%
2 18
26.1%
3 5
 
7.2%
4 1
 
1.4%
ValueCountFrequency (%)
4 1
 
1.4%
3 5
 
7.2%
2 18
26.1%
1 21
30.4%

w2_C10_7
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.777777778
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.403238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7351217861
Coefficient of variation (CV)0.4135060047
Kurtosis0.514283625
Mean1.777777778
Median Absolute Deviation (MAD)1
Skewness0.7391430228
Sum80
Variance0.5404040404
MonotonicityNot monotonic
2025-02-26T17:46:00.440178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 22
31.9%
1 17
24.6%
3 5
 
7.2%
4 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 17
24.6%
2 22
31.9%
3 5
 
7.2%
4 1
 
1.4%
ValueCountFrequency (%)
4 1
 
1.4%
3 5
 
7.2%
2 22
31.9%
1 17
24.6%

w2_C11
Real number (ℝ)

Missing 

How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.

Distinct3
Distinct (%)6.7%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.822222222
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.477172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6138140409
Coefficient of variation (CV)0.3368491688
Kurtosis-0.3551466338
Mean1.822222222
Median Absolute Deviation (MAD)0
Skewness0.1125448572
Sum82
Variance0.3767676768
MonotonicityNot monotonic
2025-02-26T17:46:00.518036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 27
39.1%
1 13
18.8%
3 5
 
7.2%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 13
18.8%
2 27
39.1%
3 5
 
7.2%
ValueCountFrequency (%)
3 5
 
7.2%
2 27
39.1%
1 13
18.8%

w2_C12_1
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)11.1%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.222222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.557741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.020001981
Coefficient of variation (CV)0.4590008913
Kurtosis-0.2397409709
Mean2.222222222
Median Absolute Deviation (MAD)1
Skewness0.4703836731
Sum100
Variance1.04040404
MonotonicityNot monotonic
2025-02-26T17:46:00.599807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 14
20.3%
3 14
20.3%
1 13
18.8%
4 3
 
4.3%
5 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 13
18.8%
2 14
20.3%
3 14
20.3%
4 3
 
4.3%
5 1
 
1.4%
ValueCountFrequency (%)
5 1
 
1.4%
4 3
 
4.3%
3 14
20.3%
2 14
20.3%
1 13
18.8%

w2_C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.822222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.640859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4.8
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.113734277
Coefficient of variation (CV)0.61119564
Kurtosis2.888040283
Mean1.822222222
Median Absolute Deviation (MAD)1
Skewness1.81395478
Sum82
Variance1.24040404
MonotonicityNot monotonic
2025-02-26T17:46:00.680422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 21
30.4%
2 19
27.5%
5 3
 
4.3%
4 2
 
2.9%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 21
30.4%
2 19
27.5%
4 2
 
2.9%
5 3
 
4.3%
ValueCountFrequency (%)
5 3
 
4.3%
4 2
 
2.9%
2 19
27.5%
1 21
30.4%

w2_C12_3
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)11.4%
Missing25
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.720072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9431515699
Coefficient of variation (CV)0.3429642072
Kurtosis-0.2859420191
Mean2.75
Median Absolute Deviation (MAD)1
Skewness0.0108898456
Sum121
Variance0.8895348837
MonotonicityNot monotonic
2025-02-26T17:46:00.761250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 18
26.1%
2 13
18.8%
4 8
 
11.6%
1 4
 
5.8%
5 1
 
1.4%
(Missing) 25
36.2%
ValueCountFrequency (%)
1 4
 
5.8%
2 13
18.8%
3 18
26.1%
4 8
11.6%
5 1
 
1.4%
ValueCountFrequency (%)
5 1
 
1.4%
4 8
11.6%
3 18
26.1%
2 13
18.8%
1 4
 
5.8%

w2_C12_4
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)11.1%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.288888889
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.801881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.100045913
Coefficient of variation (CV)0.4806025832
Kurtosis0.04741956139
Mean2.288888889
Median Absolute Deviation (MAD)1
Skewness0.7820495459
Sum103
Variance1.21010101
MonotonicityNot monotonic
2025-02-26T17:46:00.843907image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 19
27.5%
1 11
15.9%
3 8
 
11.6%
4 5
 
7.2%
5 2
 
2.9%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 11
15.9%
2 19
27.5%
3 8
11.6%
4 5
 
7.2%
5 2
 
2.9%
ValueCountFrequency (%)
5 2
 
2.9%
4 5
 
7.2%
3 8
11.6%
2 19
27.5%
1 11
15.9%

w2_C12_5
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.911111111
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:00.882923image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7926429387
Coefficient of variation (CV)0.2722819255
Kurtosis-0.07275455886
Mean2.911111111
Median Absolute Deviation (MAD)0
Skewness-0.4105654947
Sum131
Variance0.6282828283
MonotonicityNot monotonic
2025-02-26T17:46:00.981191image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 23
33.3%
4 10
14.5%
2 10
14.5%
1 2
 
2.9%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 2
 
2.9%
2 10
14.5%
3 23
33.3%
4 10
14.5%
ValueCountFrequency (%)
4 10
14.5%
3 23
33.3%
2 10
14.5%
1 2
 
2.9%

w2_D01
Real number (ℝ)

Missing 

Beyond walking about, do you engage in other physical activities? 1. Yes 2. No

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.285714286
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.018374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4553825555
Coefficient of variation (CV)0.3541864321
Kurtosis-1.090928962
Mean1.285714286
Median Absolute Deviation (MAD)0
Skewness0.971980471
Sum81
Variance0.2073732719
MonotonicityNot monotonic
2025-02-26T17:46:01.055010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 45
65.2%
2 18
 
26.1%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 45
65.2%
2 18
 
26.1%
ValueCountFrequency (%)
2 18
 
26.1%
1 45
65.2%

w2_D02
Real number (ℝ)

Missing 

Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.555555556
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.091504image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5008952559
Coefficient of variation (CV)0.3220040931
Kurtosis-2.012459016
Mean1.555555556
Median Absolute Deviation (MAD)0
Skewness-0.2290979941
Sum98
Variance0.2508960573
MonotonicityNot monotonic
2025-02-26T17:46:01.129756image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 35
50.7%
1 28
40.6%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 28
40.6%
2 35
50.7%
ValueCountFrequency (%)
2 35
50.7%
1 28
40.6%

w2_D03_1
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.844444444
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.165686image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8244986233
Coefficient of variation (CV)0.2898627972
Kurtosis-0.5328130422
Mean2.844444444
Median Absolute Deviation (MAD)1
Skewness-0.2067462595
Sum128
Variance0.6797979798
MonotonicityNot monotonic
2025-02-26T17:46:01.201925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 20
29.0%
2 13
18.8%
4 10
14.5%
1 2
 
2.9%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 2
 
2.9%
2 13
18.8%
3 20
29.0%
4 10
14.5%
ValueCountFrequency (%)
4 10
14.5%
3 20
29.0%
2 13
18.8%
1 2
 
2.9%

w2_D03_2
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.555555556
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.237069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8932971499
Coefficient of variation (CV)0.5742624535
Kurtosis0.9018632013
Mean1.555555556
Median Absolute Deviation (MAD)0
Skewness1.426909407
Sum70
Variance0.797979798
MonotonicityNot monotonic
2025-02-26T17:46:01.274940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 30
43.5%
2 7
 
10.1%
3 6
 
8.7%
4 2
 
2.9%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 30
43.5%
2 7
 
10.1%
3 6
 
8.7%
4 2
 
2.9%
ValueCountFrequency (%)
4 2
 
2.9%
3 6
 
8.7%
2 7
 
10.1%
1 30
43.5%

w2_D03_3
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.

Distinct2
Distinct (%)4.4%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.133333333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.312674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3437758255
Coefficient of variation (CV)0.3033316107
Kurtosis3.120368004
Mean1.133333333
Median Absolute Deviation (MAD)0
Skewness2.232390423
Sum51
Variance0.1181818182
MonotonicityNot monotonic
2025-02-26T17:46:01.351947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 39
56.5%
2 6
 
8.7%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 39
56.5%
2 6
 
8.7%
ValueCountFrequency (%)
2 6
 
8.7%
1 39
56.5%

w2_D03_4
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.666666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.387655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.8
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9534625892
Coefficient of variation (CV)0.5720775535
Kurtosis0.3563122924
Mean1.666666667
Median Absolute Deviation (MAD)0
Skewness1.225642898
Sum75
Variance0.9090909091
MonotonicityNot monotonic
2025-02-26T17:46:01.424412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 27
39.1%
2 9
 
13.0%
3 6
 
8.7%
4 3
 
4.3%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 27
39.1%
2 9
 
13.0%
3 6
 
8.7%
4 3
 
4.3%
ValueCountFrequency (%)
4 3
 
4.3%
3 6
 
8.7%
2 9
 
13.0%
1 27
39.1%

w2_D03_5
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.466666667
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.461262image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8146387934
Coefficient of variation (CV)0.5554355409
Kurtosis1.300431601
Mean1.466666667
Median Absolute Deviation (MAD)0
Skewness1.563849663
Sum66
Variance0.6636363636
MonotonicityNot monotonic
2025-02-26T17:46:01.498216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 32
46.4%
3 6
 
8.7%
2 6
 
8.7%
4 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 32
46.4%
2 6
 
8.7%
3 6
 
8.7%
4 1
 
1.4%
ValueCountFrequency (%)
4 1
 
1.4%
3 6
 
8.7%
2 6
 
8.7%
1 32
46.4%

w2_D03_6
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.

Distinct3
Distinct (%)6.7%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.133333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.535870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4045199175
Coefficient of variation (CV)0.356929339
Kurtosis10.80328945
Mean1.133333333
Median Absolute Deviation (MAD)0
Skewness3.238598306
Sum51
Variance0.1636363636
MonotonicityNot monotonic
2025-02-26T17:46:01.576224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 40
58.0%
2 4
 
5.8%
3 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 40
58.0%
2 4
 
5.8%
3 1
 
1.4%
ValueCountFrequency (%)
3 1
 
1.4%
2 4
 
5.8%
1 40
58.0%

w2_D03_7
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.377777778
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.613842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2.8
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6838689697
Coefficient of variation (CV)0.4963565102
Kurtosis4.320814132
Mean1.377777778
Median Absolute Deviation (MAD)0
Skewness2.026639841
Sum62
Variance0.4676767677
MonotonicityNot monotonic
2025-02-26T17:46:01.651654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 32
46.4%
2 10
 
14.5%
3 2
 
2.9%
4 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 32
46.4%
2 10
 
14.5%
3 2
 
2.9%
4 1
 
1.4%
ValueCountFrequency (%)
4 1
 
1.4%
3 2
 
2.9%
2 10
 
14.5%
1 32
46.4%

w2_D03_8
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.

Distinct3
Distinct (%)6.7%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.333333333
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.689381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5222329679
Coefficient of variation (CV)0.3916747259
Kurtosis0.5197489849
Mean1.333333333
Median Absolute Deviation (MAD)0
Skewness1.224616068
Sum60
Variance0.2727272727
MonotonicityNot monotonic
2025-02-26T17:46:01.730836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 31
44.9%
2 13
18.8%
3 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 31
44.9%
2 13
18.8%
3 1
 
1.4%
ValueCountFrequency (%)
3 1
 
1.4%
2 13
18.8%
1 31
44.9%

w2_D04
Real number (ℝ)

Missing 

How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.769572image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.967658843
Coefficient of variation (CV)0.4398449286
Kurtosis-0.7825331028
Mean2.2
Median Absolute Deviation (MAD)1
Skewness0.3653960159
Sum99
Variance0.9363636364
MonotonicityNot monotonic
2025-02-26T17:46:01.807508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 17
24.6%
1 12
17.4%
3 11
15.9%
4 5
 
7.2%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 12
17.4%
2 17
24.6%
3 11
15.9%
4 5
 
7.2%
ValueCountFrequency (%)
4 5
 
7.2%
3 11
15.9%
2 17
24.6%
1 12
17.4%

w2_D05_1
Real number (ℝ)

Missing 

How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)11.4%
Missing25
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean3.840909091
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.848698image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.199674022
Coefficient of variation (CV)0.3123411655
Kurtosis0.2764178417
Mean3.840909091
Median Absolute Deviation (MAD)1
Skewness-1.034110899
Sum169
Variance1.439217759
MonotonicityNot monotonic
2025-02-26T17:46:01.894298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 17
24.6%
5 15
21.7%
3 5
 
7.2%
2 4
 
5.8%
1 3
 
4.3%
(Missing) 25
36.2%
ValueCountFrequency (%)
1 3
 
4.3%
2 4
 
5.8%
3 5
 
7.2%
4 17
24.6%
5 15
21.7%
ValueCountFrequency (%)
5 15
21.7%
4 17
24.6%
3 5
 
7.2%
2 4
 
5.8%
1 3
 
4.3%

w2_D05_2
Real number (ℝ)

Missing 

How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct4
Distinct (%)9.1%
Missing25
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean2.681818182
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:01.940639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8832478983
Coefficient of variation (CV)0.329346674
Kurtosis-0.6128705444
Mean2.681818182
Median Absolute Deviation (MAD)1
Skewness-0.1613023891
Sum118
Variance0.7801268499
MonotonicityNot monotonic
2025-02-26T17:46:01.983511image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 18
26.1%
2 14
20.3%
4 8
 
11.6%
1 4
 
5.8%
(Missing) 25
36.2%
ValueCountFrequency (%)
1 4
 
5.8%
2 14
20.3%
3 18
26.1%
4 8
11.6%
ValueCountFrequency (%)
4 8
11.6%
3 18
26.1%
2 14
20.3%
1 4
 
5.8%

w2_D05_3
Real number (ℝ)

Missing 

How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct4
Distinct (%)9.1%
Missing25
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean1.659090909
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.021855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9869657947
Coefficient of variation (CV)0.5948834927
Kurtosis1.243882948
Mean1.659090909
Median Absolute Deviation (MAD)0
Skewness1.509874574
Sum73
Variance0.9741014799
MonotonicityNot monotonic
2025-02-26T17:46:02.061120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 26
37.7%
2 12
17.4%
4 5
 
7.2%
3 1
 
1.4%
(Missing) 25
36.2%
ValueCountFrequency (%)
1 26
37.7%
2 12
17.4%
3 1
 
1.4%
4 5
 
7.2%
ValueCountFrequency (%)
4 5
 
7.2%
3 1
 
1.4%
2 12
17.4%
1 26
37.7%

w2_D06_1
Boolean

Imbalance  Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.

Distinct2
Distinct (%)4.4%
Missing24
Missing (%)34.8%
Memory size270.0 B
False
44 
True
 
1
(Missing)
24 
ValueCountFrequency (%)
False 44
63.8%
True 1
 
1.4%
(Missing) 24
34.8%
2025-02-26T17:46:02.103171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_2
Boolean

Imbalance  Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.

Distinct2
Distinct (%)4.3%
Missing23
Missing (%)33.3%
Memory size270.0 B
False
42 
True
 
4
(Missing)
23 
ValueCountFrequency (%)
False 42
60.9%
True 4
 
5.8%
(Missing) 23
33.3%
2025-02-26T17:46:02.140460image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_3
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.

Distinct2
Distinct (%)4.3%
Missing23
Missing (%)33.3%
Memory size270.0 B
False
31 
True
15 
(Missing)
23 
ValueCountFrequency (%)
False 31
44.9%
True 15
21.7%
(Missing) 23
33.3%
2025-02-26T17:46:02.180275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_4
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.

Distinct2
Distinct (%)4.4%
Missing24
Missing (%)34.8%
Memory size270.0 B
True
26 
False
19 
(Missing)
24 
ValueCountFrequency (%)
True 26
37.7%
False 19
27.5%
(Missing) 24
34.8%
2025-02-26T17:46:02.222770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_5
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.

Distinct2
Distinct (%)4.4%
Missing24
Missing (%)34.8%
Memory size270.0 B
False
31 
True
14 
(Missing)
24 
ValueCountFrequency (%)
False 31
44.9%
True 14
20.3%
(Missing) 24
34.8%
2025-02-26T17:46:02.308534image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_other
Unsupported

Missing  Rejected  Unsupported 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.

Missing69
Missing (%)100.0%
Memory size693.0 B

w2_D07_1
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.622222222
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.346709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile4.8
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.38644229
Coefficient of variation (CV)0.5287279918
Kurtosis-1.428396848
Mean2.622222222
Median Absolute Deviation (MAD)1
Skewness-0.02426594286
Sum118
Variance1.922222222
MonotonicityNot monotonic
2025-02-26T17:46:02.393108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 17
24.6%
3 14
20.3%
4 11
15.9%
5 3
 
4.3%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 17
24.6%
3 14
20.3%
4 11
15.9%
5 3
 
4.3%
ValueCountFrequency (%)
5 3
 
4.3%
4 11
15.9%
3 14
20.3%
1 17
24.6%

w2_D07_2
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.

Distinct3
Distinct (%)6.7%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.288888889
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.434834image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7574545358
Coefficient of variation (CV)0.5876802433
Kurtosis4.472818116
Mean1.288888889
Median Absolute Deviation (MAD)0
Skewness2.410099043
Sum58
Variance0.5737373737
MonotonicityNot monotonic
2025-02-26T17:46:02.472338image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 39
56.5%
3 5
 
7.2%
4 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 39
56.5%
3 5
 
7.2%
4 1
 
1.4%
ValueCountFrequency (%)
4 1
 
1.4%
3 5
 
7.2%
1 39
56.5%

w2_D07_3
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.

Distinct2
Distinct (%)4.4%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.088888889
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.515207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4168181543
Coefficient of variation (CV)0.3827921825
Kurtosis19.81070849
Mean1.088888889
Median Absolute Deviation (MAD)0
Skewness4.575080823
Sum49
Variance0.1737373737
MonotonicityNot monotonic
2025-02-26T17:46:02.607396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 43
62.3%
3 2
 
2.9%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 43
62.3%
3 2
 
2.9%
ValueCountFrequency (%)
3 2
 
2.9%
1 43
62.3%

w2_D07_4
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.355555556
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.653470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3.8
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9571633174
Coefficient of variation (CV)0.7061040866
Kurtosis5.994665705
Mean1.355555556
Median Absolute Deviation (MAD)0
Skewness2.630327916
Sum61
Variance0.9161616162
MonotonicityNot monotonic
2025-02-26T17:46:02.695808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 39
56.5%
3 3
 
4.3%
4 2
 
2.9%
5 1
 
1.4%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 39
56.5%
3 3
 
4.3%
4 2
 
2.9%
5 1
 
1.4%
ValueCountFrequency (%)
5 1
 
1.4%
4 2
 
2.9%
3 3
 
4.3%
1 39
56.5%

w2_D07_5
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.

Distinct4
Distinct (%)8.9%
Missing24
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.288888889
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.739067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.486640848
Coefficient of variation (CV)0.649503283
Kurtosis-1.332247826
Mean2.288888889
Median Absolute Deviation (MAD)0
Skewness0.5185705128
Sum103
Variance2.21010101
MonotonicityNot monotonic
2025-02-26T17:46:02.781714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 24
34.8%
3 9
 
13.0%
4 8
 
11.6%
5 4
 
5.8%
(Missing) 24
34.8%
ValueCountFrequency (%)
1 24
34.8%
3 9
 
13.0%
4 8
 
11.6%
5 4
 
5.8%
ValueCountFrequency (%)
5 4
 
5.8%
4 8
 
11.6%
3 9
 
13.0%
1 24
34.8%

w2_E01_1
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.682539683
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.822629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4692271211
Coefficient of variation (CV)0.2788802701
Kurtosis-1.399786504
Mean1.682539683
Median Absolute Deviation (MAD)0
Skewness-0.8035536809
Sum106
Variance0.2201740911
MonotonicityNot monotonic
2025-02-26T17:46:02.859990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 43
62.3%
1 20
29.0%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 20
29.0%
2 43
62.3%
ValueCountFrequency (%)
2 43
62.3%
1 20
29.0%

w2_E01_2
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.603174603
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.897102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4931689019
Coefficient of variation (CV)0.3076202061
Kurtosis-1.873801553
Mean1.603174603
Median Absolute Deviation (MAD)0
Skewness-0.4321333995
Sum101
Variance0.2432155658
MonotonicityNot monotonic
2025-02-26T17:46:02.935783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 38
55.1%
1 25
36.2%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 25
36.2%
2 38
55.1%
ValueCountFrequency (%)
2 38
55.1%
1 25
36.2%

w2_E01_3
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)3.2%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.612903226
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:02.974225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4910623716
Coefficient of variation (CV)0.3044586704
Kurtosis-1.834489295
Mean1.612903226
Median Absolute Deviation (MAD)0
Skewness-0.4751602787
Sum100
Variance0.2411422528
MonotonicityNot monotonic
2025-02-26T17:46:03.013002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 38
55.1%
1 24
34.8%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 24
34.8%
2 38
55.1%
ValueCountFrequency (%)
2 38
55.1%
1 24
34.8%

w2_E01_4
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.80952381
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.050352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3958308068
Coefficient of variation (CV)0.2187486038
Kurtosis0.6277724204
Mean1.80952381
Median Absolute Deviation (MAD)0
Skewness-1.615195814
Sum114
Variance0.1566820276
MonotonicityNot monotonic
2025-02-26T17:46:03.088643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 51
73.9%
1 12
 
17.4%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 12
 
17.4%
2 51
73.9%
ValueCountFrequency (%)
2 51
73.9%
1 12
 
17.4%

w2_E01_5
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.888888889
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.125172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3167939755
Coefficient of variation (CV)0.1677144576
Kurtosis4.573770492
Mean1.888888889
Median Absolute Deviation (MAD)0
Skewness-2.53565014
Sum119
Variance0.1003584229
MonotonicityNot monotonic
2025-02-26T17:46:03.163242image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 56
81.2%
1 7
 
10.1%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 7
 
10.1%
2 56
81.2%
ValueCountFrequency (%)
2 56
81.2%
1 7
 
10.1%

w2_E01_6
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)3.2%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean1.349206349
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.199812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4805484152
Coefficient of variation (CV)0.3561711783
Kurtosis-1.632765076
Mean1.349206349
Median Absolute Deviation (MAD)0
Skewness0.6481665531
Sum85
Variance0.2309267793
MonotonicityNot monotonic
2025-02-26T17:46:03.237366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 41
59.4%
2 22
31.9%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
1 41
59.4%
2 22
31.9%
ValueCountFrequency (%)
2 22
31.9%
1 41
59.4%

w2_E02_1
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)5.0%
Missing9
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean3.266666667
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.273689image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6604227374
Coefficient of variation (CV)0.2021702257
Kurtosis-0.7103345422
Mean3.266666667
Median Absolute Deviation (MAD)0.5
Skewness-0.3484484517
Sum196
Variance0.4361581921
MonotonicityNot monotonic
2025-02-26T17:46:03.314336image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 30
43.5%
4 23
33.3%
2 7
 
10.1%
(Missing) 9
 
13.0%
ValueCountFrequency (%)
2 7
 
10.1%
3 30
43.5%
4 23
33.3%
ValueCountFrequency (%)
4 23
33.3%
3 30
43.5%
2 7
 
10.1%

w2_E02_2
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct2
Distinct (%)6.5%
Missing38
Missing (%)55.1%
Infinite0
Infinite (%)0.0%
Mean2.193548387
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.431908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum3
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4016096645
Coefficient of variation (CV)0.1830867588
Kurtosis0.7024630542
Mean2.193548387
Median Absolute Deviation (MAD)0
Skewness1.631366154
Sum68
Variance0.1612903226
MonotonicityNot monotonic
2025-02-26T17:46:03.474920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 25
36.2%
3 6
 
8.7%
(Missing) 38
55.1%
ValueCountFrequency (%)
2 25
36.2%
3 6
 
8.7%
ValueCountFrequency (%)
3 6
 
8.7%
2 25
36.2%

w2_E02_3
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)9.1%
Missing36
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean2.272727273
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.518060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum4
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5167644091
Coefficient of variation (CV)0.22737634
Kurtosis2.511017976
Mean2.272727273
Median Absolute Deviation (MAD)0
Skewness1.76909876
Sum75
Variance0.2670454545
MonotonicityNot monotonic
2025-02-26T17:46:03.697409image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 25
36.2%
3 7
 
10.1%
4 1
 
1.4%
(Missing) 36
52.2%
ValueCountFrequency (%)
2 25
36.2%
3 7
 
10.1%
4 1
 
1.4%
ValueCountFrequency (%)
4 1
 
1.4%
3 7
 
10.1%
2 25
36.2%

w2_E02_4
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)5.6%
Missing15
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean2.833333333
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.764645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.693636847
Coefficient of variation (CV)0.2448130048
Kurtosis-0.8613568398
Mean2.833333333
Median Absolute Deviation (MAD)0.5
Skewness0.2348432444
Sum153
Variance0.4811320755
MonotonicityNot monotonic
2025-02-26T17:46:03.805694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 27
39.1%
2 18
26.1%
4 9
 
13.0%
(Missing) 15
21.7%
ValueCountFrequency (%)
2 18
26.1%
3 27
39.1%
4 9
 
13.0%
ValueCountFrequency (%)
4 9
 
13.0%
3 27
39.1%
2 18
26.1%

w2_E02_5
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)7.9%
Missing31
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean2.526315789
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.846915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q33
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6466897876
Coefficient of variation (CV)0.2559813743
Kurtosis-0.2667684761
Mean2.526315789
Median Absolute Deviation (MAD)0
Skewness0.8468033022
Sum96
Variance0.4182076814
MonotonicityNot monotonic
2025-02-26T17:46:03.887870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 21
30.4%
3 14
20.3%
4 3
 
4.3%
(Missing) 31
44.9%
ValueCountFrequency (%)
2 21
30.4%
3 14
20.3%
4 3
 
4.3%
ValueCountFrequency (%)
4 3
 
4.3%
3 14
20.3%
2 21
30.4%

w2_F02_1
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.935483871
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:03.928508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8659490717
Coefficient of variation (CV)0.4474070204
Kurtosis-1.669997069
Mean1.935483871
Median Absolute Deviation (MAD)1
Skewness0.1270445433
Sum120
Variance0.7498677948
MonotonicityNot monotonic
2025-02-26T17:46:03.969009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 25
36.2%
3 21
30.4%
2 16
23.2%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 25
36.2%
2 16
23.2%
3 21
30.4%
ValueCountFrequency (%)
3 21
30.4%
2 16
23.2%
1 25
36.2%

w2_F02_2
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.080645161
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.008483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8157946362
Coefficient of variation (CV)0.3920873445
Kurtosis-1.479840782
Mean2.080645161
Median Absolute Deviation (MAD)1
Skewness-0.1514594334
Sum129
Variance0.6655208884
MonotonicityNot monotonic
2025-02-26T17:46:04.048858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 23
33.3%
2 21
30.4%
1 18
26.1%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 18
26.1%
2 21
30.4%
3 23
33.3%
ValueCountFrequency (%)
3 23
33.3%
2 21
30.4%
1 18
26.1%

w2_F02_3
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.14516129
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.087652image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8842292966
Coefficient of variation (CV)0.4121971157
Kurtosis-1.677260369
Mean2.14516129
Median Absolute Deviation (MAD)1
Skewness-0.293039337
Sum133
Variance0.781861449
MonotonicityNot monotonic
2025-02-26T17:46:04.135242image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 29
42.0%
1 20
29.0%
2 13
18.8%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 20
29.0%
2 13
18.8%
3 29
42.0%
ValueCountFrequency (%)
3 29
42.0%
2 13
18.8%
1 20
29.0%

w2_F02_4
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.419354839
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.182302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8005814915
Coefficient of variation (CV)0.3309070165
Kurtosis-0.8023708626
Mean2.419354839
Median Absolute Deviation (MAD)0
Skewness-0.9164130999
Sum150
Variance0.6409307245
MonotonicityNot monotonic
2025-02-26T17:46:04.231498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 38
55.1%
1 12
 
17.4%
2 12
 
17.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 12
 
17.4%
2 12
 
17.4%
3 38
55.1%
ValueCountFrequency (%)
3 38
55.1%
2 12
 
17.4%
1 12
 
17.4%

w2_F02_5
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.887096774
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.276175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8513218018
Coefficient of variation (CV)0.4511277924
Kurtosis-1.595112484
Mean1.887096774
Median Absolute Deviation (MAD)1
Skewness0.2213867429
Sum117
Variance0.7247488102
MonotonicityNot monotonic
2025-02-26T17:46:04.414300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 26
37.7%
3 19
27.5%
2 17
24.6%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 26
37.7%
2 17
24.6%
3 19
27.5%
ValueCountFrequency (%)
3 19
27.5%
2 17
24.6%
1 26
37.7%

w2_F02_6
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.112903226
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.482386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.770455235
Coefficient of variation (CV)0.3646429357
Kurtosis-1.272577673
Mean2.112903226
Median Absolute Deviation (MAD)1
Skewness-0.1983034931
Sum131
Variance0.5936012692
MonotonicityNot monotonic
2025-02-26T17:46:04.529018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 25
36.2%
3 22
31.9%
1 15
21.7%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 15
21.7%
2 25
36.2%
3 22
31.9%
ValueCountFrequency (%)
3 22
31.9%
2 25
36.2%
1 15
21.7%

w2_F02_7
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.35483871
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.573709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5753623005
Coefficient of variation (CV)0.4246721742
Kurtosis1.044010497
Mean1.35483871
Median Absolute Deviation (MAD)0
Skewness1.399312782
Sum84
Variance0.3310417768
MonotonicityNot monotonic
2025-02-26T17:46:04.617329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 43
62.3%
2 16
 
23.2%
3 3
 
4.3%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 43
62.3%
2 16
 
23.2%
3 3
 
4.3%
ValueCountFrequency (%)
3 3
 
4.3%
2 16
 
23.2%
1 43
62.3%

w2_F02_8
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.516129032
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.658896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7408885999
Coefficient of variation (CV)0.4886712042
Kurtosis-0.3216971692
Mean1.516129032
Median Absolute Deviation (MAD)0
Skewness1.067561471
Sum94
Variance0.5489159175
MonotonicityNot monotonic
2025-02-26T17:46:04.704936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 39
56.5%
2 14
 
20.3%
3 9
 
13.0%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 39
56.5%
2 14
 
20.3%
3 9
 
13.0%
ValueCountFrequency (%)
3 9
 
13.0%
2 14
 
20.3%
1 39
56.5%

w2_F02_9
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.838709677
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.746998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.75
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.8136851686
Coefficient of variation (CV)0.4425305303
Kurtosis-1.421193313
Mean1.838709677
Median Absolute Deviation (MAD)1
Skewness0.3082257508
Sum114
Variance0.6620835537
MonotonicityNot monotonic
2025-02-26T17:46:04.790498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 26
37.7%
2 20
29.0%
3 16
23.2%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 26
37.7%
2 20
29.0%
3 16
23.2%
ValueCountFrequency (%)
3 16
23.2%
2 20
29.0%
1 26
37.7%

w2_F02_10
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.241935484
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.833874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8033839062
Coefficient of variation (CV)0.3583439006
Kurtosis-1.288512187
Mean2.241935484
Median Absolute Deviation (MAD)1
Skewness-0.4721935819
Sum139
Variance0.6454257007
MonotonicityNot monotonic
2025-02-26T17:46:04.878722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 29
42.0%
2 19
27.5%
1 14
20.3%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 14
20.3%
2 19
27.5%
3 29
42.0%
ValueCountFrequency (%)
3 29
42.0%
2 19
27.5%
1 14
20.3%

w2_F02_11
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical

Distinct3
Distinct (%)4.9%
Missing8
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean1.901639344
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:04.926588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8307610574
Coefficient of variation (CV)0.4368657284
Kurtosis-1.529535127
Mean1.901639344
Median Absolute Deviation (MAD)1
Skewness0.1886575394
Sum116
Variance0.6901639344
MonotonicityNot monotonic
2025-02-26T17:46:04.970737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 24
34.8%
2 19
27.5%
3 18
26.1%
(Missing) 8
 
11.6%
ValueCountFrequency (%)
1 24
34.8%
2 19
27.5%
3 18
26.1%
ValueCountFrequency (%)
3 18
26.1%
2 19
27.5%
1 24
34.8%

w2_F02_12
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive

Distinct3
Distinct (%)4.9%
Missing8
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean1.918032787
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.012992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.801978428
Coefficient of variation (CV)0.4181255052
Kurtosis-1.422791314
Mean1.918032787
Median Absolute Deviation (MAD)1
Skewness0.1510994764
Sum117
Variance0.6431693989
MonotonicityNot monotonic
2025-02-26T17:46:05.054540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 22
31.9%
2 22
31.9%
3 17
24.6%
(Missing) 8
 
11.6%
ValueCountFrequency (%)
1 22
31.9%
2 22
31.9%
3 17
24.6%
ValueCountFrequency (%)
3 17
24.6%
2 22
31.9%
1 22
31.9%

w2_F02_13
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.758064516
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.094763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8624304937
Coefficient of variation (CV)0.4905567946
Kurtosis-1.484056046
Mean1.758064516
Median Absolute Deviation (MAD)0
Skewness0.4966989145
Sum109
Variance0.7437863564
MonotonicityNot monotonic
2025-02-26T17:46:05.137012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 32
46.4%
3 17
24.6%
2 13
18.8%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 32
46.4%
2 13
18.8%
3 17
24.6%
ValueCountFrequency (%)
3 17
24.6%
2 13
18.8%
1 32
46.4%

w2_F02_14
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.596774194
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.177598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8190293619
Coefficient of variation (CV)0.5129274792
Kurtosis-0.9218860868
Mean1.596774194
Median Absolute Deviation (MAD)0
Skewness0.8807063976
Sum99
Variance0.6708090957
MonotonicityNot monotonic
2025-02-26T17:46:05.219952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 38
55.1%
3 13
 
18.8%
2 11
 
15.9%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 38
55.1%
2 11
 
15.9%
3 13
 
18.8%
ValueCountFrequency (%)
3 13
 
18.8%
2 11
 
15.9%
1 38
55.1%

w2_F02_15
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.774193548
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.261139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8762691936
Coefficient of variation (CV)0.4938971818
Kurtosis-1.552904167
Mean1.774193548
Median Absolute Deviation (MAD)0
Skewness0.4643402453
Sum110
Variance0.7678476996
MonotonicityNot monotonic
2025-02-26T17:46:05.302781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 32
46.4%
3 18
26.1%
2 12
 
17.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 32
46.4%
2 12
 
17.4%
3 18
26.1%
ValueCountFrequency (%)
3 18
26.1%
2 12
 
17.4%
1 32
46.4%

w2_F02_16
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.343397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.7892723356
Coefficient of variation (CV)0.3946361678
Kurtosis-1.382158787
Mean2
Median Absolute Deviation (MAD)1
Skewness0
Sum124
Variance0.6229508197
MonotonicityNot monotonic
2025-02-26T17:46:05.383505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 24
34.8%
1 19
27.5%
3 19
27.5%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 19
27.5%
2 24
34.8%
3 19
27.5%
ValueCountFrequency (%)
3 19
27.5%
2 24
34.8%
1 19
27.5%

w2_F02_17
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.564516129
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.423929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7382071268
Coefficient of variation (CV)0.4718437305
Kurtosis-0.565788941
Mean1.564516129
Median Absolute Deviation (MAD)0
Skewness0.9074268878
Sum97
Variance0.544949762
MonotonicityNot monotonic
2025-02-26T17:46:05.465349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 36
52.2%
2 17
24.6%
3 9
 
13.0%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 36
52.2%
2 17
24.6%
3 9
 
13.0%
ValueCountFrequency (%)
3 9
 
13.0%
2 17
24.6%
1 36
52.2%

w2_F02_18
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.709677419
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.506720image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7972719217
Coefficient of variation (CV)0.4663288599
Kurtosis-1.182355329
Mean1.709677419
Median Absolute Deviation (MAD)0.5
Skewness0.5778857885
Sum106
Variance0.6356425172
MonotonicityNot monotonic
2025-02-26T17:46:05.547759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 31
44.9%
2 18
26.1%
3 13
18.8%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 31
44.9%
2 18
26.1%
3 13
18.8%
ValueCountFrequency (%)
3 13
18.8%
2 18
26.1%
1 31
44.9%

w2_F02_19
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean1.677419355
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.587647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7191569187
Coefficient of variation (CV)0.4287281631
Kurtosis-0.8605922156
Mean1.677419355
Median Absolute Deviation (MAD)1
Skewness0.5744058408
Sum104
Variance0.5171866737
MonotonicityNot monotonic
2025-02-26T17:46:05.629278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 29
42.0%
2 24
34.8%
3 9
 
13.0%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 29
42.0%
2 24
34.8%
3 9
 
13.0%
ValueCountFrequency (%)
3 9
 
13.0%
2 24
34.8%
1 29
42.0%

w2_F02_20
Real number (ℝ)

Missing 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel

Distinct3
Distinct (%)4.8%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.209677419
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.689312image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7495812333
Coefficient of variation (CV)0.3392265436
Kurtosis-1.119530557
Mean2.209677419
Median Absolute Deviation (MAD)1
Skewness-0.3672638874
Sum137
Variance0.5618720254
MonotonicityNot monotonic
2025-02-26T17:46:05.751251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 25
36.2%
3 25
36.2%
1 12
17.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 12
17.4%
2 25
36.2%
3 25
36.2%
ValueCountFrequency (%)
3 25
36.2%
2 25
36.2%
1 12
17.4%

w2_F01_1
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.693548387
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.793172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.542711151
Coefficient of variation (CV)0.5727430619
Kurtosis3.086184126
Mean2.693548387
Median Absolute Deviation (MAD)1
Skewness1.449897922
Sum167
Variance2.379957694
MonotonicityNot monotonic
2025-02-26T17:46:05.840286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 24
34.8%
1 15
21.7%
2 13
18.8%
5 4
 
5.8%
4 3
 
4.3%
8 2
 
2.9%
6 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 15
21.7%
2 13
18.8%
3 24
34.8%
4 3
 
4.3%
5 4
 
5.8%
ValueCountFrequency (%)
8 2
 
2.9%
6 1
 
1.4%
5 4
 
5.8%
4 3
 
4.3%
3 24
34.8%

w2_F01_2
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.882573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.596615272
Coefficient of variation (CV)0.4561757921
Kurtosis-0.2978220599
Mean3.5
Median Absolute Deviation (MAD)1
Skewness0.2746968644
Sum217
Variance2.549180328
MonotonicityNot monotonic
2025-02-26T17:46:05.923042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 21
30.4%
5 14
20.3%
1 8
 
11.6%
2 7
 
10.1%
4 6
 
8.7%
6 5
 
7.2%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 8
 
11.6%
2 7
 
10.1%
3 21
30.4%
4 6
 
8.7%
5 14
20.3%
ValueCountFrequency (%)
8 1
 
1.4%
6 5
 
7.2%
5 14
20.3%
4 6
 
8.7%
3 21
30.4%

w2_F01_3
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.306451613
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:05.966375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.275091892
Coefficient of variation (CV)0.5528370442
Kurtosis0.2309788287
Mean2.306451613
Median Absolute Deviation (MAD)1
Skewness0.8664454184
Sum143
Variance1.625859334
MonotonicityNot monotonic
2025-02-26T17:46:06.005026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 21
30.4%
2 16
23.2%
3 16
23.2%
4 4
 
5.8%
5 4
 
5.8%
6 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 21
30.4%
2 16
23.2%
3 16
23.2%
4 4
 
5.8%
5 4
 
5.8%
ValueCountFrequency (%)
6 1
 
1.4%
5 4
 
5.8%
4 4
 
5.8%
3 16
23.2%
2 16
23.2%

w2_F01_4
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.887096774
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.041611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.34414137
Coefficient of variation (CV)0.4655685193
Kurtosis-0.2609157989
Mean2.887096774
Median Absolute Deviation (MAD)1
Skewness0.547007476
Sum179
Variance1.806716023
MonotonicityNot monotonic
2025-02-26T17:46:06.083473image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 18
26.1%
3 17
24.6%
4 10
14.5%
1 9
13.0%
5 5
 
7.2%
6 3
 
4.3%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 9
13.0%
2 18
26.1%
3 17
24.6%
4 10
14.5%
5 5
 
7.2%
ValueCountFrequency (%)
6 3
 
4.3%
5 5
 
7.2%
4 10
14.5%
3 17
24.6%
2 18
26.1%

w2_F01_5
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct5
Distinct (%)8.1%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.387096774
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.123476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219444091
Coefficient of variation (CV)0.5108482005
Kurtosis-0.8615129712
Mean2.387096774
Median Absolute Deviation (MAD)1
Skewness0.4396518639
Sum148
Variance1.487043892
MonotonicityNot monotonic
2025-02-26T17:46:06.168370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 19
27.5%
2 16
23.2%
3 14
20.3%
4 10
14.5%
5 3
 
4.3%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 19
27.5%
2 16
23.2%
3 14
20.3%
4 10
14.5%
5 3
 
4.3%
ValueCountFrequency (%)
5 3
 
4.3%
4 10
14.5%
3 14
20.3%
2 16
23.2%
1 19
27.5%

w2_F01_6
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.935483871
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.210788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.75
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.447110946
Coefficient of variation (CV)0.4929718607
Kurtosis1.397478755
Mean2.935483871
Median Absolute Deviation (MAD)1
Skewness0.920887418
Sum182
Variance2.09413009
MonotonicityNot monotonic
2025-02-26T17:46:06.250131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 22
31.9%
2 14
20.3%
1 10
14.5%
4 7
 
10.1%
5 6
 
8.7%
6 2
 
2.9%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 10
14.5%
2 14
20.3%
3 22
31.9%
4 7
 
10.1%
5 6
 
8.7%
ValueCountFrequency (%)
8 1
 
1.4%
6 2
 
2.9%
5 6
 
8.7%
4 7
 
10.1%
3 22
31.9%

w2_F01_7
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.483870968
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.403528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34.75
95-th percentile7.9
Maximum8
Range7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.835371365
Coefficient of variation (CV)0.5268195586
Kurtosis0.3597311878
Mean3.483870968
Median Absolute Deviation (MAD)1
Skewness0.906074249
Sum216
Variance3.368588049
MonotonicityNot monotonic
2025-02-26T17:46:06.445611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 17
24.6%
2 15
21.7%
4 8
11.6%
5 7
10.1%
1 6
 
8.7%
6 5
 
7.2%
8 4
 
5.8%
(Missing) 7
10.1%
ValueCountFrequency (%)
1 6
 
8.7%
2 15
21.7%
3 17
24.6%
4 8
11.6%
5 7
10.1%
ValueCountFrequency (%)
8 4
 
5.8%
6 5
 
7.2%
5 7
10.1%
4 8
11.6%
3 17
24.6%

w2_F01_8
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.387096774
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.487088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.246040795
Coefficient of variation (CV)0.5219900627
Kurtosis5.396151462
Mean2.387096774
Median Absolute Deviation (MAD)1
Skewness1.52723513
Sum148
Variance1.552617663
MonotonicityNot monotonic
2025-02-26T17:46:06.594362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 22
31.9%
1 17
24.6%
2 16
23.2%
4 5
 
7.2%
5 1
 
1.4%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 17
24.6%
2 16
23.2%
3 22
31.9%
4 5
 
7.2%
5 1
 
1.4%
ValueCountFrequency (%)
8 1
 
1.4%
5 1
 
1.4%
4 5
 
7.2%
3 22
31.9%
2 16
23.2%

w2_F01_9
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.822580645
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.654015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.397001397
Coefficient of variation (CV)0.4949376378
Kurtosis1.731098813
Mean2.822580645
Median Absolute Deviation (MAD)1
Skewness0.9985387527
Sum175
Variance1.951612903
MonotonicityNot monotonic
2025-02-26T17:46:06.693504image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 19
27.5%
2 18
26.1%
1 10
14.5%
5 8
11.6%
4 6
 
8.7%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 10
14.5%
2 18
26.1%
3 19
27.5%
4 6
 
8.7%
5 8
11.6%
ValueCountFrequency (%)
8 1
 
1.4%
5 8
11.6%
4 6
 
8.7%
3 19
27.5%
2 18
26.1%

w2_F01_10
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.35483871
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.731484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.537474768
Coefficient of variation (CV)0.6529002439
Kurtosis4.25248236
Mean2.35483871
Median Absolute Deviation (MAD)1
Skewness1.807257611
Sum146
Variance2.363828662
MonotonicityNot monotonic
2025-02-26T17:46:06.772450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 21
30.4%
2 19
27.5%
3 12
17.4%
4 5
 
7.2%
5 3
 
4.3%
8 2
 
2.9%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 21
30.4%
2 19
27.5%
3 12
17.4%
4 5
 
7.2%
5 3
 
4.3%
ValueCountFrequency (%)
8 2
 
2.9%
5 3
 
4.3%
4 5
 
7.2%
3 12
17.4%
2 19
27.5%

w2_F01_11
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.322580645
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.810925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.423159652
Coefficient of variation (CV)0.6127492946
Kurtosis4.789839422
Mean2.322580645
Median Absolute Deviation (MAD)1
Skewness1.870951851
Sum144
Variance2.025383395
MonotonicityNot monotonic
2025-02-26T17:46:06.852562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 21
30.4%
1 19
27.5%
3 14
20.3%
4 5
 
7.2%
7 1
 
1.4%
8 1
 
1.4%
6 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 19
27.5%
2 21
30.4%
3 14
20.3%
4 5
 
7.2%
6 1
 
1.4%
ValueCountFrequency (%)
8 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
4 5
 
7.2%
3 14
20.3%

w2_F01_12
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.741935484
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.894850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5.95
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.304914844
Coefficient of variation (CV)0.4759101195
Kurtosis0.6492395538
Mean2.741935484
Median Absolute Deviation (MAD)1
Skewness0.9108897381
Sum170
Variance1.70280275
MonotonicityNot monotonic
2025-02-26T17:46:06.936354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 21
30.4%
3 19
27.5%
1 9
13.0%
4 7
 
10.1%
6 4
 
5.8%
5 2
 
2.9%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 9
13.0%
2 21
30.4%
3 19
27.5%
4 7
 
10.1%
5 2
 
2.9%
ValueCountFrequency (%)
6 4
 
5.8%
5 2
 
2.9%
4 7
 
10.1%
3 19
27.5%
2 21
30.4%

w2_F01_13
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.112903226
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:06.975056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.281710419
Coefficient of variation (CV)0.4117411707
Kurtosis-0.6350655171
Mean3.112903226
Median Absolute Deviation (MAD)1
Skewness0.3135145479
Sum193
Variance1.642781597
MonotonicityNot monotonic
2025-02-26T17:46:07.016827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 18
26.1%
3 16
23.2%
4 13
18.8%
5 8
11.6%
1 5
 
7.2%
6 2
 
2.9%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 5
 
7.2%
2 18
26.1%
3 16
23.2%
4 13
18.8%
5 8
11.6%
ValueCountFrequency (%)
6 2
 
2.9%
5 8
11.6%
4 13
18.8%
3 16
23.2%
2 18
26.1%

w2_F01_14
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct5
Distinct (%)8.1%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.258064516
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.055992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.317417791
Coefficient of variation (CV)0.5834278787
Kurtosis-0.7059115359
Mean2.258064516
Median Absolute Deviation (MAD)1
Skewness0.6591477278
Sum140
Variance1.735589635
MonotonicityNot monotonic
2025-02-26T17:46:07.096600image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 26
37.7%
3 15
21.7%
2 10
 
14.5%
4 6
 
8.7%
5 5
 
7.2%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 26
37.7%
2 10
 
14.5%
3 15
21.7%
4 6
 
8.7%
5 5
 
7.2%
ValueCountFrequency (%)
5 5
 
7.2%
4 6
 
8.7%
3 15
21.7%
2 10
 
14.5%
1 26
37.7%

w2_F01_15
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.967741935
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.135201image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.40219666
Coefficient of variation (CV)0.3533991582
Kurtosis-0.5229411226
Mean3.967741935
Median Absolute Deviation (MAD)1
Skewness-0.05155976754
Sum246
Variance1.966155473
MonotonicityNot monotonic
2025-02-26T17:46:07.172939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 19
27.5%
5 13
18.8%
4 13
18.8%
6 9
13.0%
2 4
 
5.8%
1 3
 
4.3%
7 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 3
 
4.3%
2 4
 
5.8%
3 19
27.5%
4 13
18.8%
5 13
18.8%
ValueCountFrequency (%)
7 1
 
1.4%
6 9
13.0%
5 13
18.8%
4 13
18.8%
3 19
27.5%

w2_F01_16
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.838709677
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.209425image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5.95
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5278137
Coefficient of variation (CV)0.5382070988
Kurtosis-0.132025159
Mean2.838709677
Median Absolute Deviation (MAD)1
Skewness0.6800054308
Sum176
Variance2.334214701
MonotonicityNot monotonic
2025-02-26T17:46:07.247936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 17
24.6%
2 14
20.3%
1 14
20.3%
4 7
10.1%
5 6
 
8.7%
6 3
 
4.3%
7 1
 
1.4%
(Missing) 7
10.1%
ValueCountFrequency (%)
1 14
20.3%
2 14
20.3%
3 17
24.6%
4 7
10.1%
5 6
 
8.7%
ValueCountFrequency (%)
7 1
 
1.4%
6 3
 
4.3%
5 6
 
8.7%
4 7
10.1%
3 17
24.6%

w2_F01_17
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct8
Distinct (%)12.9%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.758064516
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.285789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.656437852
Coefficient of variation (CV)0.4407688704
Kurtosis-0.5847591268
Mean3.758064516
Median Absolute Deviation (MAD)1
Skewness0.2659630234
Sum233
Variance2.743786356
MonotonicityNot monotonic
2025-02-26T17:46:07.332886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 18
26.1%
5 11
15.9%
2 9
13.0%
6 9
13.0%
4 8
11.6%
1 5
 
7.2%
8 1
 
1.4%
7 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 5
 
7.2%
2 9
13.0%
3 18
26.1%
4 8
11.6%
5 11
15.9%
ValueCountFrequency (%)
8 1
 
1.4%
7 1
 
1.4%
6 9
13.0%
5 11
15.9%
4 8
11.6%

w2_F01_18
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.596774194
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.425083image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.336249675
Coefficient of variation (CV)0.5145806202
Kurtosis1.015943982
Mean2.596774194
Median Absolute Deviation (MAD)1
Skewness0.9146143419
Sum161
Variance1.785563194
MonotonicityNot monotonic
2025-02-26T17:46:07.465950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 18
26.1%
3 17
24.6%
1 14
20.3%
4 8
11.6%
5 3
 
4.3%
6 1
 
1.4%
7 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 14
20.3%
2 18
26.1%
3 17
24.6%
4 8
11.6%
5 3
 
4.3%
ValueCountFrequency (%)
7 1
 
1.4%
6 1
 
1.4%
5 3
 
4.3%
4 8
11.6%
3 17
24.6%

w2_F01_19
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct5
Distinct (%)8.1%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.032258065
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.506146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.023778632
Coefficient of variation (CV)0.5037640885
Kurtosis0.9111350079
Mean2.032258065
Median Absolute Deviation (MAD)1
Skewness1.070508447
Sum126
Variance1.048122686
MonotonicityNot monotonic
2025-02-26T17:46:07.547858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 26
37.7%
1 21
30.4%
3 9
 
13.0%
4 4
 
5.8%
5 2
 
2.9%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 21
30.4%
2 26
37.7%
3 9
 
13.0%
4 4
 
5.8%
5 2
 
2.9%
ValueCountFrequency (%)
5 2
 
2.9%
4 4
 
5.8%
3 9
 
13.0%
2 26
37.7%
1 21
30.4%

w2_F01_20
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires

Distinct8
Distinct (%)12.9%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean5.080645161
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.589643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.550234113
Coefficient of variation (CV)0.3051254445
Kurtosis0.07920916128
Mean5.080645161
Median Absolute Deviation (MAD)1
Skewness-0.547903289
Sum315
Variance2.403225806
MonotonicityNot monotonic
2025-02-26T17:46:07.629867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 23
33.3%
5 13
18.8%
4 9
 
13.0%
3 5
 
7.2%
2 4
 
5.8%
7 4
 
5.8%
8 3
 
4.3%
1 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 1
 
1.4%
2 4
 
5.8%
3 5
 
7.2%
4 9
13.0%
5 13
18.8%
ValueCountFrequency (%)
8 3
 
4.3%
7 4
 
5.8%
6 23
33.3%
5 13
18.8%
4 9
 
13.0%

w2_F01_21
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.370967742
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.669794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.283359717
Coefficient of variation (CV)0.541280969
Kurtosis0.0029800341
Mean2.370967742
Median Absolute Deviation (MAD)1
Skewness0.753535661
Sum147
Variance1.647012163
MonotonicityNot monotonic
2025-02-26T17:46:07.707560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 20
29.0%
3 17
24.6%
2 15
21.7%
4 5
 
7.2%
5 4
 
5.8%
6 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 20
29.0%
2 15
21.7%
3 17
24.6%
4 5
 
7.2%
5 4
 
5.8%
ValueCountFrequency (%)
6 1
 
1.4%
5 4
 
5.8%
4 5
 
7.2%
3 17
24.6%
2 15
21.7%

w2_F01_22
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.161290323
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.743762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.147963962
Coefficient of variation (CV)0.5311475049
Kurtosis0.9587305773
Mean2.161290323
Median Absolute Deviation (MAD)1
Skewness1.01722423
Sum134
Variance1.317821259
MonotonicityNot monotonic
2025-02-26T17:46:07.781887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 21
30.4%
1 21
30.4%
3 12
17.4%
4 6
 
8.7%
5 1
 
1.4%
6 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 21
30.4%
2 21
30.4%
3 12
17.4%
4 6
 
8.7%
5 1
 
1.4%
ValueCountFrequency (%)
6 1
 
1.4%
5 1
 
1.4%
4 6
 
8.7%
3 12
17.4%
2 21
30.4%

w2_F01_23
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct8
Distinct (%)12.9%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.596774194
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.816780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.572923324
Coefficient of variation (CV)0.6057220255
Kurtosis1.693083036
Mean2.596774194
Median Absolute Deviation (MAD)1
Skewness1.252044835
Sum161
Variance2.474087784
MonotonicityNot monotonic
2025-02-26T17:46:07.859014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 19
27.5%
1 17
24.6%
3 11
15.9%
4 8
11.6%
5 4
 
5.8%
6 1
 
1.4%
7 1
 
1.4%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 17
24.6%
2 19
27.5%
3 11
15.9%
4 8
11.6%
5 4
 
5.8%
ValueCountFrequency (%)
8 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
5 4
5.8%
4 8
11.6%

w2_F01_24
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.274193548
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.897128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5.95
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.439140851
Coefficient of variation (CV)0.4395405554
Kurtosis-0.2573406251
Mean3.274193548
Median Absolute Deviation (MAD)1
Skewness0.1807183447
Sum203
Variance2.071126388
MonotonicityNot monotonic
2025-02-26T17:46:07.936526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 18
26.1%
4 16
23.2%
1 9
13.0%
2 8
11.6%
5 7
 
10.1%
6 3
 
4.3%
7 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 9
13.0%
2 8
11.6%
3 18
26.1%
4 16
23.2%
5 7
 
10.1%
ValueCountFrequency (%)
7 1
 
1.4%
6 3
 
4.3%
5 7
 
10.1%
4 16
23.2%
3 18
26.1%

w2_F01_25
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct8
Distinct (%)12.9%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.435483871
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:07.975248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.675483466
Coefficient of variation (CV)0.4876994126
Kurtosis-0.0757099399
Mean3.435483871
Median Absolute Deviation (MAD)1
Skewness0.5480136514
Sum213
Variance2.807244844
MonotonicityNot monotonic
2025-02-26T17:46:08.021837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 18
26.1%
4 11
15.9%
2 10
14.5%
1 8
11.6%
5 7
 
10.1%
6 5
 
7.2%
7 2
 
2.9%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 8
11.6%
2 10
14.5%
3 18
26.1%
4 11
15.9%
5 7
 
10.1%
ValueCountFrequency (%)
8 1
 
1.4%
7 2
 
2.9%
6 5
7.2%
5 7
10.1%
4 11
15.9%

w2_F01_26
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.85483871
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.063902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.597608604
Coefficient of variation (CV)0.5596143133
Kurtosis0.6398214007
Mean2.85483871
Median Absolute Deviation (MAD)1
Skewness0.8931431579
Sum177
Variance2.552353252
MonotonicityNot monotonic
2025-02-26T17:46:08.103411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 15
21.7%
3 15
21.7%
1 14
20.3%
4 9
13.0%
5 4
 
5.8%
6 4
 
5.8%
8 1
 
1.4%
(Missing) 7
10.1%
ValueCountFrequency (%)
1 14
20.3%
2 15
21.7%
3 15
21.7%
4 9
13.0%
5 4
 
5.8%
ValueCountFrequency (%)
8 1
 
1.4%
6 4
 
5.8%
5 4
 
5.8%
4 9
13.0%
3 15
21.7%

w2_F01_27
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.451612903
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.142255image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.289013085
Coefficient of variation (CV)0.525781653
Kurtosis4.975832185
Mean2.451612903
Median Absolute Deviation (MAD)1
Skewness1.605351357
Sum152
Variance1.661554733
MonotonicityNot monotonic
2025-02-26T17:46:08.179962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 22
31.9%
2 18
26.1%
1 15
21.7%
4 4
 
5.8%
6 1
 
1.4%
5 1
 
1.4%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 15
21.7%
2 18
26.1%
3 22
31.9%
4 4
 
5.8%
5 1
 
1.4%
ValueCountFrequency (%)
8 1
 
1.4%
6 1
 
1.4%
5 1
 
1.4%
4 4
 
5.8%
3 22
31.9%

w2_F01_28
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.612903226
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.217878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.452582084
Coefficient of variation (CV)0.5559264767
Kurtosis0.3856248382
Mean2.612903226
Median Absolute Deviation (MAD)1
Skewness0.9786392797
Sum162
Variance2.109994712
MonotonicityNot monotonic
2025-02-26T17:46:08.258102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 18
26.1%
3 18
26.1%
1 15
21.7%
6 5
 
7.2%
5 3
 
4.3%
4 3
 
4.3%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 15
21.7%
2 18
26.1%
3 18
26.1%
4 3
 
4.3%
5 3
 
4.3%
ValueCountFrequency (%)
6 5
 
7.2%
5 3
 
4.3%
4 3
 
4.3%
3 18
26.1%
2 18
26.1%

w2_F01_29
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.322580645
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.293243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.352280327
Coefficient of variation (CV)0.5822318076
Kurtosis1.426525122
Mean2.322580645
Median Absolute Deviation (MAD)1
Skewness1.109536853
Sum144
Variance1.828662084
MonotonicityNot monotonic
2025-02-26T17:46:08.346671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 22
31.9%
2 15
21.7%
3 14
20.3%
4 8
 
11.6%
5 1
 
1.4%
7 1
 
1.4%
6 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 22
31.9%
2 15
21.7%
3 14
20.3%
4 8
 
11.6%
5 1
 
1.4%
ValueCountFrequency (%)
7 1
 
1.4%
6 1
 
1.4%
5 1
 
1.4%
4 8
11.6%
3 14
20.3%

w2_F01_30
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.435483871
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.391384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.409813006
Coefficient of variation (CV)0.5788636185
Kurtosis0.7774621741
Mean2.435483871
Median Absolute Deviation (MAD)1
Skewness0.9520489472
Sum151
Variance1.987572713
MonotonicityNot monotonic
2025-02-26T17:46:08.523146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 21
30.4%
3 16
23.2%
2 13
18.8%
4 7
 
10.1%
5 3
 
4.3%
6 1
 
1.4%
7 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 21
30.4%
2 13
18.8%
3 16
23.2%
4 7
 
10.1%
5 3
 
4.3%
ValueCountFrequency (%)
7 1
 
1.4%
6 1
 
1.4%
5 3
 
4.3%
4 7
10.1%
3 16
23.2%

w2_F01_31
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct5
Distinct (%)8.1%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.080645161
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.620395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.177638469
Coefficient of variation (CV)0.5659967836
Kurtosis-0.05174220732
Mean2.080645161
Median Absolute Deviation (MAD)1
Skewness0.8972084843
Sum129
Variance1.386832364
MonotonicityNot monotonic
2025-02-26T17:46:08.668845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 26
37.7%
2 16
23.2%
3 12
17.4%
4 5
 
7.2%
5 3
 
4.3%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 26
37.7%
2 16
23.2%
3 12
17.4%
4 5
 
7.2%
5 3
 
4.3%
ValueCountFrequency (%)
5 3
 
4.3%
4 5
 
7.2%
3 12
17.4%
2 16
23.2%
1 26
37.7%

w2_F01_32
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.096774194
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.712373image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.565087097
Coefficient of variation (CV)0.5053927083
Kurtosis-0.4200440855
Mean3.096774194
Median Absolute Deviation (MAD)1
Skewness0.4443626957
Sum192
Variance2.44949762
MonotonicityNot monotonic
2025-02-26T17:46:08.752731image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 18
26.1%
1 12
17.4%
4 11
15.9%
2 10
14.5%
5 5
 
7.2%
6 5
 
7.2%
7 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 12
17.4%
2 10
14.5%
3 18
26.1%
4 11
15.9%
5 5
 
7.2%
ValueCountFrequency (%)
7 1
 
1.4%
6 5
 
7.2%
5 5
 
7.2%
4 11
15.9%
3 18
26.1%

w2_F01_33
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct8
Distinct (%)12.9%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.516129032
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.792765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.715330446
Coefficient of variation (CV)0.4878462738
Kurtosis0.1438703603
Mean3.516129032
Median Absolute Deviation (MAD)1
Skewness0.5959703725
Sum218
Variance2.94235854
MonotonicityNot monotonic
2025-02-26T17:46:08.836729image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 19
27.5%
4 12
17.4%
2 8
11.6%
1 8
11.6%
5 6
 
8.7%
6 6
 
8.7%
8 2
 
2.9%
7 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 8
11.6%
2 8
11.6%
3 19
27.5%
4 12
17.4%
5 6
 
8.7%
ValueCountFrequency (%)
8 2
 
2.9%
7 1
 
1.4%
6 6
8.7%
5 6
8.7%
4 12
17.4%

w2_F01_34
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.322580645
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:08.878650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.277474372
Coefficient of variation (CV)0.5500236881
Kurtosis0.1906668474
Mean2.322580645
Median Absolute Deviation (MAD)1
Skewness0.8741628781
Sum144
Variance1.631940772
MonotonicityNot monotonic
2025-02-26T17:46:08.989607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 20
29.0%
2 18
26.1%
3 14
20.3%
4 5
 
7.2%
5 4
 
5.8%
6 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 20
29.0%
2 18
26.1%
3 14
20.3%
4 5
 
7.2%
5 4
 
5.8%
ValueCountFrequency (%)
6 1
 
1.4%
5 4
 
5.8%
4 5
 
7.2%
3 14
20.3%
2 18
26.1%

w2_F01_35
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.024540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.305725098
Coefficient of variation (CV)0.6528625492
Kurtosis6.380077851
Mean2
Median Absolute Deviation (MAD)1
Skewness2.05456134
Sum124
Variance1.704918033
MonotonicityNot monotonic
2025-02-26T17:46:09.062374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 29
42.0%
2 15
21.7%
3 13
18.8%
4 2
 
2.9%
5 2
 
2.9%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 29
42.0%
2 15
21.7%
3 13
18.8%
4 2
 
2.9%
5 2
 
2.9%
ValueCountFrequency (%)
8 1
 
1.4%
5 2
 
2.9%
4 2
 
2.9%
3 13
18.8%
2 15
21.7%

w2_F01_36
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct5
Distinct (%)8.1%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.241935484
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.099816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.154967658
Coefficient of variation (CV)0.5151654302
Kurtosis-0.3377192918
Mean2.241935484
Median Absolute Deviation (MAD)1
Skewness0.6274099978
Sum139
Variance1.333950291
MonotonicityNot monotonic
2025-02-26T17:46:09.139472image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 21
30.4%
3 17
24.6%
2 16
23.2%
4 5
 
7.2%
5 3
 
4.3%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 21
30.4%
2 16
23.2%
3 17
24.6%
4 5
 
7.2%
5 3
 
4.3%
ValueCountFrequency (%)
5 3
 
4.3%
4 5
 
7.2%
3 17
24.6%
2 16
23.2%
1 21
30.4%

w2_F01_37
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.225806452
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.180545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.23367178
Coefficient of variation (CV)0.5542583359
Kurtosis1.274986096
Mean2.225806452
Median Absolute Deviation (MAD)1
Skewness1.122318466
Sum138
Variance1.52194606
MonotonicityNot monotonic
2025-02-26T17:46:09.218968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 21
30.4%
2 19
27.5%
3 14
20.3%
4 5
 
7.2%
6 2
 
2.9%
5 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 21
30.4%
2 19
27.5%
3 14
20.3%
4 5
 
7.2%
5 1
 
1.4%
ValueCountFrequency (%)
6 2
 
2.9%
5 1
 
1.4%
4 5
 
7.2%
3 14
20.3%
2 19
27.5%

w2_F01_38
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself

Distinct6
Distinct (%)9.7%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.338709677
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.255922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.95
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.329902602
Coefficient of variation (CV)0.5686480091
Kurtosis0.8841510236
Mean2.338709677
Median Absolute Deviation (MAD)1
Skewness1.029618911
Sum145
Variance1.768640931
MonotonicityNot monotonic
2025-02-26T17:46:09.293389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 21
30.4%
3 17
24.6%
2 15
21.7%
4 5
 
7.2%
6 3
 
4.3%
5 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 21
30.4%
2 15
21.7%
3 17
24.6%
4 5
 
7.2%
5 1
 
1.4%
ValueCountFrequency (%)
6 3
 
4.3%
5 1
 
1.4%
4 5
 
7.2%
3 17
24.6%
2 15
21.7%

w2_F01_39
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader

Distinct8
Distinct (%)12.9%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean3.64516129
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.339788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.403704399
Coefficient of variation (CV)0.3850870475
Kurtosis0.865147901
Mean3.64516129
Median Absolute Deviation (MAD)1
Skewness0.6658633084
Sum226
Variance1.970386039
MonotonicityNot monotonic
2025-02-26T17:46:09.407153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 22
31.9%
4 17
24.6%
2 7
 
10.1%
5 6
 
8.7%
6 5
 
7.2%
1 3
 
4.3%
7 1
 
1.4%
8 1
 
1.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
1 3
 
4.3%
2 7
 
10.1%
3 22
31.9%
4 17
24.6%
5 6
 
8.7%
ValueCountFrequency (%)
8 1
 
1.4%
7 1
 
1.4%
6 5
 
7.2%
5 6
 
8.7%
4 17
24.6%

w2_F01_40
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct7
Distinct (%)11.3%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean2.64516129
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.446610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.537474768
Coefficient of variation (CV)0.5812404611
Kurtosis1.026995715
Mean2.64516129
Median Absolute Deviation (MAD)1
Skewness0.9893907482
Sum164
Variance2.363828662
MonotonicityNot monotonic
2025-02-26T17:46:09.492391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 17
24.6%
1 17
24.6%
3 11
15.9%
4 9
13.0%
5 6
 
8.7%
6 1
 
1.4%
8 1
 
1.4%
(Missing) 7
10.1%
ValueCountFrequency (%)
1 17
24.6%
2 17
24.6%
3 11
15.9%
4 9
13.0%
5 6
 
8.7%
ValueCountFrequency (%)
8 1
 
1.4%
6 1
 
1.4%
5 6
8.7%
4 9
13.0%
3 11
15.9%

w2_interviewtime
Real number (ℝ)

Zeros 

interviewtime

Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean889.386087
Minimum0
Maximum12603.6
Zeros3
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.553828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.56
Q1458.75
median585.38
Q3971.62
95-th percentile1444.274
Maximum12603.6
Range12603.6
Interquartile range (IQR)512.87

Descriptive statistics

Standard deviation1519.939755
Coefficient of variation (CV)1.708976312
Kurtosis53.6423526
Mean889.386087
Median Absolute Deviation (MAD)201.54
Skewness6.973052793
Sum61367.64
Variance2310216.858
MonotonicityNot monotonic
2025-02-26T17:46:09.620481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3
 
4.3%
971.62 1
 
1.4%
519.64 1
 
1.4%
1159.02 1
 
1.4%
551.35 1
 
1.4%
984.02 1
 
1.4%
1154.1 1
 
1.4%
704.92 1
 
1.4%
719.82 1
 
1.4%
917.73 1
 
1.4%
Other values (57) 57
82.6%
ValueCountFrequency (%)
0.0 3
4.3%
6.38 1
 
1.4%
9.33 1
 
1.4%
97.74 1
 
1.4%
229.34 1
 
1.4%
ValueCountFrequency (%)
12603.6 1
1.4%
3015.29 1
1.4%
2678.82 1
1.4%
1517.25 1
1.4%
1334.81 1
1.4%

w2_GT_A1
Real number (ℝ)

Missing 

Distinct64
Distinct (%)100.0%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean137.5692188
Minimum18
Maximum3618.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.673308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile32.512
Q154.6325
median63.71
Q399.4275
95-th percentile189.1585
Maximum3618.6
Range3600.6
Interquartile range (IQR)44.795

Descriptive statistics

Standard deviation444.4499554
Coefficient of variation (CV)3.230736929
Kurtosis62.55364522
Mean137.5692188
Median Absolute Deviation (MAD)17.085
Skewness7.867883562
Sum8804.43
Variance197535.7628
MonotonicityNot monotonic
2025-02-26T17:46:09.726594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.2 1
 
1.4%
115.15 1
 
1.4%
67.94 1
 
1.4%
29.84 1
 
1.4%
28.72 1
 
1.4%
61.8 1
 
1.4%
58.99 1
 
1.4%
81.59 1
 
1.4%
74.46 1
 
1.4%
193.62 1
 
1.4%
Other values (54) 54
78.3%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
18.0 1
1.4%
28.72 1
1.4%
29.84 1
1.4%
32.2 1
1.4%
34.28 1
1.4%
ValueCountFrequency (%)
3618.6 1
1.4%
248.71 1
1.4%
193.62 1
1.4%
189.16 1
1.4%
189.15 1
1.4%

w2_GT_A2
Real number (ℝ)

Missing 

Distinct62
Distinct (%)96.9%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean10.17421875
Minimum6.08
Maximum36.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.778012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.08
5-th percentile6.413
Q17.425
median8.595
Q311.1075
95-th percentile17.5445
Maximum36.68
Range30.6
Interquartile range (IQR)3.6825

Descriptive statistics

Standard deviation5.144406981
Coefficient of variation (CV)0.5056316468
Kurtosis14.07709308
Mean10.17421875
Median Absolute Deviation (MAD)1.525
Skewness3.40526346
Sum651.15
Variance26.46492319
MonotonicityNot monotonic
2025-02-26T17:46:09.836468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.8 2
 
2.9%
8.12 2
 
2.9%
15.19 1
 
1.4%
17.63 1
 
1.4%
9.4 1
 
1.4%
9.12 1
 
1.4%
8.54 1
 
1.4%
10.13 1
 
1.4%
11.65 1
 
1.4%
11.02 1
 
1.4%
Other values (52) 52
75.4%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
6.08 1
1.4%
6.17 1
1.4%
6.21 1
1.4%
6.41 1
1.4%
6.43 1
1.4%
ValueCountFrequency (%)
36.68 1
1.4%
30.85 1
1.4%
18.6 1
1.4%
17.63 1
1.4%
17.06 1
1.4%

w2_GT_B
Real number (ℝ)

Missing 

Distinct64
Distinct (%)100.0%
Missing5
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean34.65375
Minimum14.04
Maximum122.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:09.894872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum14.04
5-th percentile17.991
Q123.9225
median28.22
Q337.9875
95-th percentile72.367
Maximum122.65
Range108.61
Interquartile range (IQR)14.065

Descriptive statistics

Standard deviation20.10935907
Coefficient of variation (CV)0.5802938808
Kurtosis8.036010273
Mean34.65375
Median Absolute Deviation (MAD)6.03
Skewness2.626358994
Sum2217.84
Variance404.3863222
MonotonicityNot monotonic
2025-02-26T17:46:09.949749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.01 1
 
1.4%
34.18 1
 
1.4%
22.49 1
 
1.4%
30.93 1
 
1.4%
43.39 1
 
1.4%
20.38 1
 
1.4%
38.99 1
 
1.4%
17.97 1
 
1.4%
31.56 1
 
1.4%
73.6 1
 
1.4%
Other values (54) 54
78.3%
(Missing) 5
 
7.2%
ValueCountFrequency (%)
14.04 1
1.4%
16.59 1
1.4%
17.41 1
1.4%
17.97 1
1.4%
18.11 1
1.4%
ValueCountFrequency (%)
122.65 1
1.4%
111.06 1
1.4%
83.47 1
1.4%
73.6 1
1.4%
65.38 1
1.4%

w2_GT_C
Real number (ℝ)

Missing 

Distinct63
Distinct (%)100.0%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean144.2530159
Minimum4.82
Maximum971.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:10.004135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.82
5-th percentile7.629
Q195.035
median121.7
Q3179.585
95-th percentile254.928
Maximum971.95
Range967.13
Interquartile range (IQR)84.55

Descriptive statistics

Standard deviation131.45261
Coefficient of variation (CV)0.9112642065
Kurtosis25.22685895
Mean144.2530159
Median Absolute Deviation (MAD)40.59
Skewness4.131685535
Sum9087.94
Variance17279.78869
MonotonicityNot monotonic
2025-02-26T17:46:10.058395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151.59 1
 
1.4%
212.77 1
 
1.4%
7.62 1
 
1.4%
11.06 1
 
1.4%
229.53 1
 
1.4%
148.5 1
 
1.4%
167.22 1
 
1.4%
118.41 1
 
1.4%
173.99 1
 
1.4%
246.72 1
 
1.4%
Other values (53) 53
76.8%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
4.82 1
1.4%
5.79 1
1.4%
6.13 1
1.4%
7.62 1
1.4%
7.71 1
1.4%
ValueCountFrequency (%)
971.95 1
1.4%
382.7 1
1.4%
265.53 1
1.4%
255.84 1
1.4%
246.72 1
1.4%

w2_GT_D
Real number (ℝ)

Missing 

Distinct63
Distinct (%)100.0%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean59.30174603
Minimum5.01
Maximum158.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:10.108232image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.01
5-th percentile6.229
Q118.035
median56.24
Q379.245
95-th percentile134.347
Maximum158.51
Range153.5
Interquartile range (IQR)61.21

Descriptive statistics

Standard deviation40.80480576
Coefficient of variation (CV)0.6880877628
Kurtosis-0.229546197
Mean59.30174603
Median Absolute Deviation (MAD)25.03
Skewness0.4854461893
Sum3736.01
Variance1665.032173
MonotonicityNot monotonic
2025-02-26T17:46:10.161705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.54 1
 
1.4%
88.21 1
 
1.4%
6.4 1
 
1.4%
73.34 1
 
1.4%
10.09 1
 
1.4%
92.85 1
 
1.4%
83.55 1
 
1.4%
47.03 1
 
1.4%
18.48 1
 
1.4%
142.61 1
 
1.4%
Other values (53) 53
76.8%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
5.01 1
1.4%
5.55 1
1.4%
5.99 1
1.4%
6.21 1
1.4%
6.4 1
1.4%
ValueCountFrequency (%)
158.51 1
1.4%
154.86 1
1.4%
142.61 1
1.4%
134.65 1
1.4%
131.62 1
1.4%

w2_GT_E
Real number (ℝ)

Missing 

Distinct63
Distinct (%)100.0%
Missing6
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean100.385873
Minimum11.24
Maximum2098.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:10.219134image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum11.24
5-th percentile19.631
Q139.325
median50.57
Q373.555
95-th percentile241.893
Maximum2098.79
Range2087.55
Interquartile range (IQR)34.23

Descriptive statistics

Standard deviation266.4452471
Coefficient of variation (CV)2.654210588
Kurtosis53.21752708
Mean100.385873
Median Absolute Deviation (MAD)14.64
Skewness7.102807913
Sum6324.31
Variance70993.06969
MonotonicityNot monotonic
2025-02-26T17:46:10.272506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.44 1
 
1.4%
102.97 1
 
1.4%
36.62 1
 
1.4%
48.59 1
 
1.4%
79.13 1
 
1.4%
40.94 1
 
1.4%
56.15 1
 
1.4%
31.5 1
 
1.4%
57.87 1
 
1.4%
74.3 1
 
1.4%
Other values (53) 53
76.8%
(Missing) 6
 
8.7%
ValueCountFrequency (%)
11.24 1
1.4%
15.47 1
1.4%
16.31 1
1.4%
19.15 1
1.4%
23.96 1
1.4%
ValueCountFrequency (%)
2098.79 1
1.4%
541.43 1
1.4%
272.04 1
1.4%
255.73 1
1.4%
117.36 1
1.4%

w2_GT_F
Real number (ℝ)

Missing 

Distinct62
Distinct (%)100.0%
Missing7
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean478.1980645
Minimum73.48
Maximum8529.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2025-02-26T17:46:10.322523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum73.48
5-th percentile110.6045
Q1213.76
median280.425
Q3383.515
95-th percentile747.9055
Maximum8529.4
Range8455.92
Interquartile range (IQR)169.755

Descriptive statistics

Standard deviation1096.861818
Coefficient of variation (CV)2.293739561
Kurtosis49.71440061
Mean478.1980645
Median Absolute Deviation (MAD)75.75
Skewness6.847242022
Sum29648.28
Variance1203105.849
MonotonicityNot monotonic
2025-02-26T17:46:10.373394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
602.25 1
 
1.4%
343.26 1
 
1.4%
293.93 1
 
1.4%
351.19 1
 
1.4%
263.08 1
 
1.4%
299.79 1
 
1.4%
203.93 1
 
1.4%
313.59 1
 
1.4%
394.94 1
 
1.4%
549.91 1
 
1.4%
Other values (52) 52
75.4%
(Missing) 7
 
10.1%
ValueCountFrequency (%)
73.48 1
1.4%
84.27 1
1.4%
99.77 1
1.4%
110.06 1
1.4%
120.95 1
1.4%
ValueCountFrequency (%)
8529.4 1
1.4%
2787.2 1
1.4%
797.83 1
1.4%
753.26 1
1.4%
646.17 1
1.4%